Welcome and Opening Remarks

Keynote from AspenTech President and CEO, Antonio Pietri - Partnering for the Future

Partnering for Innovation

Partnering for Customer Outcomes

Q&A with Partners

Track: Digital Grid Management




The grid is at a crucial juncture. Decarbonization, electrification and increasing climate and cyber threats, coupled with demand growth and aging infrastructure, are introducing new levels of complexity and unpredictability. The clean energy transition is transforming supply and demand dynamics and the resulting decentralization and bi-directional flow creates new challenges for utility stakeholders. Attend this plenary to hear how AspenTech’s Digital Grid Management solutions support the evolution to the intelligent power grid of the future providing reliable, safe and secure service. Accelerate hardening of critical grid infrastructure to mitigate adverse events, scale renewable capacity rapidly to meet net-zero objectives and empower consumers to actively participate and benefit from greater market opportunities and services.

Track: Digital Grid Management The grid is at a crucial juncture. Decarbonization, electrification and increasing climate and cyber threats, coupled with demand growth and aging infrastructure, are introducing new levels of complexity and unpredictability. The clean energy transition is transforming supply and demand dynamics and the resulting decentralization and bi-directional flow creates new challenges for utility stakeholders. Attend this plenary to hear how AspenTech’s Digital Grid Management solutions support the evolution to the intelligent power grid of the future providing reliable, safe and secure service. Accelerate hardening of critical grid infrastructure to mitigate adverse events, scale renewable capacity rapidly to meet net-zero objectives and empower consumers to actively participate and benefit from greater market opportunities and services.

Digital Grid Management (DGM) Highlights and Industry Update

Operational Updates

Partner Day - Emerson Impact Partners Breakout

Track: Digital Grid Management




 In this session, learn about new monarch platform and Digital Grid Management product enhancements for electric and gas utilities and see a demonstration of future innovations. Join to get a sneak peak of key items in development and features planned to be released in the future.

Track: Digital Grid Management &nbsp;In this session, learn about new monarch platform and Digital Grid Management product enhancements for electric and gas utilities and see a demonstration of future innovations. Join to get a sneak peak of key items in development and features planned to be released in the future.

New Platform Enhancements and Demo Showcase

Recent Innovations & Preview of What's Coming

Track: Digital Grid Management




Join our Digital Grid Management (DGM) professional services leaders as they provide an update to our service organization’s accomplishments, global growth and staffing updates, transformation initiatives and more. This session also covers customer support, an overview of implementation process improvements and enhancements made to the OSI University experience.

Track: Digital Grid Management Join our Digital Grid Management (DGM) professional services leaders as they provide an update to our service organization’s accomplishments, global growth and staffing updates, transformation initiatives and more. This session also covers customer support, an overview of implementation process improvements and enhancements made to the OSI University experience.

Global Professional Services Overview

Closing Comments

Track: Digital Grid Management




In this session, learn how our Implementation Service Partner (ISP) program expands software delivery options and enhances customer service satisfaction. The ISP program provides our customers with an ecosystem of qualified software and systems delivery resources (partners) to execute Digital Grid Management services, including upgrades, system implementations, system integration, managed cloud hosting services and more. We will review how we have selected consulting and engineering firms worldwide and enabled them—through training and staff augmentation—to build the deep skills required to successfully deliver our solutions to customers.

Track: Digital Grid Management In this session, learn how our Implementation Service Partner (ISP) program expands software delivery options and enhances customer service satisfaction. The ISP program provides our customers with an ecosystem of qualified software and systems delivery resources (partners) to execute Digital Grid Management services, including upgrades, system implementations, system integration, managed cloud hosting services and more. We will review how we have selected consulting and engineering firms worldwide and enabled them—through training and staff augmentation—to build the deep skills required to successfully deliver our solutions to customers.

Implementation Service Partner Program Overview

Networking Event

Track: Digital Grid Management




Learn about advancements in standard, real-time operating system designs and delivery mechanisms to streamline product deployment and continually improve total cost of ownership. We will cover industry trends in hardware, cloud deployment, field communication and network technologies (hardware and software). Dive deep on platform statistics across our customer base and learn about our new Managed Service Provider program for cloud-hosted systems.

Track: Digital Grid Management Learn about advancements in standard, real-time operating system designs and delivery mechanisms to streamline product deployment and continually improve total cost of ownership. We will cover industry trends in hardware, cloud deployment, field communication and network technologies (hardware and software). Dive deep on platform statistics across our customer base and learn about our new Managed Service Provider program for cloud-hosted systems.

Standard Systems Initiative

Track: Digital Grid Management




In this session, we share our key product development activities to accelerate new features, simplify deployment and ensure continuous quality improvement. This includes an overview of the Digital Grid Management (DGM) quality team across the globe, its use of automated testing to improve upon people-based processes and recommendations for utilities to enable their own test automation. The session concludes with a conversation covering next steps for strategic activities within DGM’s development team.

Track: Digital Grid Management In this session, we share our key product development activities to accelerate new features, simplify deployment and ensure continuous quality improvement. This includes an overview of the Digital Grid Management (DGM) quality team across the globe, its use of automated testing to improve upon people-based processes and recommendations for utilities to enable their own test automation. The session concludes with a conversation covering next steps for strategic activities within DGM’s development team.

Product Development and Quality Initiatives Update

Click <a href="https://www.optimize2024.com/page/3510171/posters" rel="noopener noreferrer" target="_blank">here</a> to access.

Posters are available to download via the Posters page.

Partnering for the Future: Advancing Performance, Resiliency and Sustainability

Antonio Pietri, AspenTech President and CEO, welcomes you to the first OPTIMIZE event featuring our new capabilities, which uniquely positions AspenTech to support the energy mix of the future and help you achieve your strategic objectives. Antonio will highlight the global state of the energy transition, the challenges we all face and how AspenTech digitalization solutions – which have always optimized asset performance – also play a vital role in addressing the dual challenge of meeting growing resource demands while ensuring sustainability. He’ll discuss the importance of collaboration and co-innovation to combat climate change and how these advances must span the entire value chain, encompassing new business models, embracing new partnerships and emphasizing organizational excellence. 

Learn about AspenTech's vision for today – and the future – and how our innovations and strategic partnerships are evolving to enable your business to thrive in a changing world.




Succeeding in the New Energy System 

A Conversation with Industry Leaders

 Companies at the forefront of creating the new energy system are reimagining their businesses and rapidly evolving their operations.  Driven by the energy transition, a dynamic macroeconomic environment, and rapid advancements in technology, these businesses are compelled to adapt their strategies, operating models, structures, and talent required for long-term success.  Leading companies recognize the critical role of technology and collaboration to simultaneously advance their operational performance, resiliency, and sustainability. 

During this insightful executive dialog, Antonio Pietri, AspenTech President and CEO, will lead a thought-provoking conversation with Wade Maxwell, Vice President Engineering, ExxonMobil and Jennifer Richmond, Executive President Strategy & Development, Wood. 

This engaging discussion explores how industry leaders are making strategic choices and navigating the dynamic and rapidly evolving business environment. Gain valuable insights and guidance from these leaders as they discuss their companies’ journeys and how they are embracing both the challenges and opportunities of the new energy system.

Partnering for the Future: Advancing Performance, Resiliency and SustainabilityAntonio Pietri, AspenTech President and CEO, welcomes you to the first OPTIMIZE event featuring our new capabilities, which uniquely positions AspenTech to support the energy mix of the future and help you achieve your strategic objectives. Antonio will highlight the global state of the energy transition, the challenges we all face and how AspenTech digitalization solutions – which have always optimized asset performance – also play a vital role in addressing the dual challenge of meeting growing resource demands while ensuring sustainability. He’ll discuss the importance of collaboration and co-innovation to combat climate change and how these advances must span the entire value chain, encompassing new business models, embracing new partnerships and emphasizing organizational excellence.&nbsp;Learn about AspenTech's vision for today – and the future – and how our innovations and strategic partnerships are evolving to enable your business to thrive in a changing world. Succeeding in the New Energy System&nbsp;A Conversation with Industry Leaders&nbsp;Companies at the forefront of creating the new energy system are reimagining their businesses and rapidly evolving their operations. &nbsp;Driven by the energy transition, a dynamic macroeconomic environment, and rapid advancements in technology, these businesses are compelled to adapt their strategies, operating models, structures, and talent required for long-term success.  Leading companies recognize the critical role of technology and collaboration to simultaneously advance their operational performance, resiliency, and sustainability.&nbsp;During this insightful executive dialog, Antonio Pietri, AspenTech President and CEO, will lead a thought-provoking conversation with Wade Maxwell, Vice President Engineering, ExxonMobil and Jennifer Richmond, Executive President Strategy &amp; Development, Wood. This engaging discussion explores how industry leaders are making strategic choices and navigating the dynamic and rapidly evolving business environment. Gain valuable insights and guidance from these leaders as they discuss their companies’ journeys and how they are embracing both the challenges and opportunities of the new energy system.

Welcome to OPTIMIZE 24: Keynote & Conversation with Industry Leaders

Track: Digital Grid Management




This session covers the AspenTech OSI monarch SCADA platform which provides real-time monitoring and control for systems ranging in size from millions of data points to those requiring only a few hundred monitored points. User applications include substations, power plants, distribution networks and transmission networks, electric transportation, microgrids and more. This session is intended for operations staff, operators, dispatchers and operations managers and will discuss product updates, roadmap, demo, customer presentations and panel discussion.

Track: Digital Grid Management This session covers the AspenTech OSI monarch SCADA platform which provides real-time monitoring and control for systems ranging in size from millions of data points to those requiring only a few hundred monitored points. User applications include substations, power plants, distribution networks and transmission networks, electric transportation, microgrids and more. This session is intended for operations staff, operators, dispatchers and operations managers and will discuss product updates, roadmap, demo, customer presentations and panel discussion.

AspenTech OSI monarch SCADA™ and UI: Product Update, Demo and Roadmap

The digitalization of asset-intensive industries is becoming critical at the highest levels within organizations – and represents the path to improved safety, sustainability and performance. Cutting-edge technologies empower both emerging and seasoned engineers to enhance productivity, allow new talent to work faster and more efficiently and automate everyday activities, freeing up time to focus on strategic initiatives. 

Achieving the self-optimizing asset is within reach today with artificial intelligence (including generative AI), industrial data management, cloud/edge computing, sophisticated workflows and visualization technologies. These advancements can be seamlessly integrated to support new usability paradigms necessary for the next-generation workforce.

Join Tony Antoun, AspenTech Senior Vice President and Chief Research and Software Development Officer, and Peter Zornio, Emerson Senior Vice President and Chief Technology Officer as they discuss the evolution of technology and our strategy for embracing a new era of autonomy.




The digitalization of asset-intensive industries is becoming critical at the highest levels within organizations – and represents the path to improved safety, sustainability and performance. Cutting-edge technologies empower both emerging and seasoned engineers to enhance productivity, allow new talent to work faster and more efficiently and automate everyday activities, freeing up time to focus on strategic initiatives.&nbsp;Achieving the self-optimizing asset is within reach today with artificial intelligence (including generative AI), industrial data management, cloud/edge computing, sophisticated workflows and visualization technologies. These advancements can be seamlessly integrated to support new usability paradigms necessary for the next-generation workforce.Join Tony Antoun, AspenTech Senior Vice President and Chief Research and Software Development Officer, and Peter Zornio, Emerson Senior Vice President and Chief Technology Officer as they discuss the evolution of technology and our strategy for embracing a new era of autonomy.<div id="_com_2" language="JavaScript"> </div>

Accelerate Value through Innovation: The Journey to the Self-Optimizing Asset

AspenTech OSI monarch SCADA™ and UI: Customer Presentations and Panel

Track: Downstream and Upstream






Energy companies are grappling with the challenge of providing the right balance between energy security, affordability and sustainability. Global energy consumption is projected to increase with population growth, expansion of manufacturing and rise in living standards. This will test the resiliency of companies ensuring their core business while decarbonizing current operations and developing low-carbon and green solutions.

Attend this plenary to learn how AspenTech solutions maximize performance and energy security while advancing decarbonization initiatives with technology spanning the oil, gas and sustainable fuels industries. Hear how our solutions streamline exploration and production, reduce CAPEX and OPEX, improve safety, advance operational excellence and enable the energy transition.

Track: Downstream and Upstream <a data-title="Vote Up" href="https://www.pornhub.com/login?redirect=ZOgtTQW0bxm6xT_xt-AclxIXRghep7_Rb-IjLFyvJ79qZvEszFAsAbElGyC_qj6p6klBSzNiM53msFWthxyd-g" rel="nofollow"></a>Energy companies are grappling with the challenge of providing the right balance between energy security, affordability and sustainability. Global energy consumption is projected to increase with population growth, expansion of manufacturing and rise in living standards. This will test the resiliency of companies ensuring their core business while decarbonizing current operations and developing low-carbon and green solutions.Attend this plenary to learn how AspenTech solutions maximize performance and energy security while advancing decarbonization initiatives with technology spanning the oil, gas and sustainable fuels industries. Hear how our solutions streamline exploration and production, reduce CAPEX and OPEX, improve safety, advance operational excellence and enable the energy transition.

Enabling a More Secure, Affordable and Sustainable Energy Future

Track: Engineering, Procurement and Construction




To address ambitious capital project and sustainability goals, the industry is expanding into new levels of collaboration. Leaders must effectively incorporate sustainability goals into long-range capital planning to meet business objectives for both greenfield and brownfield projects. A well-executed project utilizes strategic and often limited resources to obtain optimal project delivery without sacrificing safety, quality or performance.  

Innovations for faster scale-up, risk management and asset lifecycle support are required to meet the rapidly changing investment landscape in Hydrogen, LNG and biofuels. In this plenary, hear how industry leaders are using digital solutions to deliver projects from early conceptual phases to winning the final investment decision faster, safer and more competitively.

Track: Engineering, Procurement and Construction To address ambitious capital project and sustainability goals, the industry is expanding into new levels of collaboration. Leaders must effectively incorporate sustainability goals into long-range capital planning to meet business objectives for both greenfield and brownfield projects. A well-executed project utilizes strategic and often limited resources to obtain optimal project delivery without sacrificing safety, quality or performance. &nbsp;Innovations for faster scale-up, risk management and asset lifecycle support are required to meet the rapidly changing investment landscape in Hydrogen, LNG and biofuels. In this plenary, hear how industry leaders are using digital solutions to deliver projects from early conceptual phases to winning the final investment decision faster, safer and more competitively.

A Step Change in Capital Projects Execution

Track: Chemicals




The chemical industry plays a crucial role in the global economy, and is transforming to meet the growing needs of the world in a challenging macro-environment, whilst also achieving ambitious immediate and long-term sustainability goals. This requires a comprehensive approach focusing on reaching new levels of operational performance and efficiency, together with strategic transitions to increase agility and resiliency, decarbonize fuels and feedstocks, and innovate rapidly to close the circularity gap and address pressing environmental priorities.

In this plenary, we will review some of the chemicals market trends and discuss how digital technologies accelerate initiatives to close margin gaps and meet environmental goals, supporting the path to a more resilient and sustainable chemicals industry of the future.

Track: Chemicals The chemical industry plays a crucial role in the global economy, and is transforming to meet the growing needs of the world in a challenging macro-environment, whilst also achieving ambitious immediate and long-term sustainability goals. This requires a comprehensive approach focusing on reaching new levels of operational performance and efficiency, together with strategic transitions to increase agility and resiliency, decarbonize fuels and feedstocks, and innovate rapidly to close the circularity gap and address pressing environmental priorities.In this plenary, we will review some of the chemicals market trends and discuss how digital technologies accelerate initiatives to close margin gaps and meet environmental goals, supporting the path to a more resilient and sustainable chemicals industry of the future.

Building a Resilient Chemical Industry for a Sustainable Future

Opening Remarks by Antonio Pietri, President & CEO, AspenTech

Track: Chemicals 




Chemical companies have set targets to decarbonize the industry against a backdrop of economic headwinds. This requires changing traditional business models to operate differently. In this panel discussion, industry leaders will discuss challenges and opportunities for chemical producers and offer their perspective as how the path forward will shape.

Track: Chemicals&nbsp; Chemical companies have set targets to decarbonize the industry against a backdrop of economic headwinds. This requires changing traditional business models to operate differently. In this panel discussion, industry leaders will discuss challenges and opportunities for chemical producers and offer their perspective as how the path forward will shape.

Decarbonization in Chemicals and the Role of Digital Solutions

Track: Engineering, Procurement and Construction




As the industry faces unprecedented technological shifts, regulatory changes and market fluctuations, innovative business models must emerge, integrating cutting-edge advancements. In this panel, hear how leading companies are creating new, state-of-the-art services from design to operations.

Track: Engineering, Procurement and Construction As the industry faces unprecedented technological shifts, regulatory changes and market fluctuations, innovative business models must emerge, integrating cutting-edge advancements. In this panel, hear how leading companies are creating new, state-of-the-art services from design to operations.

Design Innovation in Sustainability

Track: Downstream




The resiliency of energy companies is increasingly challenged by pressures to decarbonize the industry, market volatility, inflation and evolving regulatory policies. Attend this panel to learn more about how companies are modifying their portfolios to build greater competitive advantage. Industry experts will provide insight on how companies are weighing new business and operating models that take advantage of technologies to lower environmental implications, while simultaneously advancing a just and equitable low-carbon future.

Track: Downstream The resiliency of energy companies is increasingly challenged by pressures to decarbonize the industry, market volatility, inflation and evolving regulatory policies. Attend this panel to learn more about how companies are modifying their portfolios to build greater competitive advantage. Industry experts will provide insight on how companies are weighing new business and operating models that take advantage of technologies to lower environmental implications, while simultaneously advancing a just and equitable low-carbon future.

Decarbonizing the Energy Industry

Track: Upstream




This panel comprising industry business leaders will focus on key business challenges and the strategies and best practices that upstream companies are putting in place to navigate the path forward, offering perspectives on the role of digitalization from exploration to processing.

Track: Upstream This panel comprising industry business leaders will focus on key business challenges and the strategies and best practices that upstream companies are putting in place to navigate the path forward, offering perspectives on the role of digitalization from exploration to processing.

Securing Sustainable and Affordable Energy

Track: Digital Grid Management




This is the first of two sessions and will cover Energy Management System (EMS) functionality including Network Security Analysis, Operator Training Simulator, Network Model Management, Dynamic Line Rating solution to support FERC 881, Dynamic Security Assessment and more. It will also include updates on SOM Planner (Switch Order Management) for switch order and permit management and Outplan for managing planned outages. This session is intended for engineering and operations staff responsible for managing the electric transmission network.

Track: Digital Grid Management This is the first of two sessions and will cover Energy Management System (EMS) functionality including Network Security Analysis, Operator Training Simulator, Network Model Management, Dynamic Line Rating solution to support FERC 881, Dynamic Security Assessment and more. It will also include updates on SOM Planner (Switch Order Management) for switch order and permit management and Outplan for managing planned outages. This session is intended for engineering and operations staff responsible for managing the electric transmission network.

Transmission Management: Product Update, Demo and Roadmap

Track: Digital Grid Management




This is the first of two sessions covering AspenTech OSI Advanced Distribution Management System™ (ADMS) functionality including distribution network modelling with eMap and advanced applications including VVC, FLISR, power flow, state estimator, short-circuit analysis and more. It will also include SOM Planner (Switch Order Management) for switch order and permit management and the Outplan product for managing enterprise outage requests. This session is intended for operations and engineering staff responsible for efficiently managing the electric distribution system and will discuss product updates and will include a demo.

Track: Digital Grid Management This is the first of two sessions covering AspenTech OSI Advanced Distribution Management System™ (ADMS) functionality including distribution network modelling with eMap and advanced applications including VVC, FLISR, power flow, state estimator, short-circuit analysis and more. It will also include SOM Planner (Switch Order Management) for switch order and permit management and the Outplan product for managing enterprise outage requests. This session is intended for operations and engineering staff responsible for efficiently managing the electric distribution system and will discuss product updates and will include a demo.

Distribution Management: Product Update and Demo

Introduction to Executive Dialogs 

Track: Engineering, Procurement and Construction




In this panel, hear industry experts discuss strategies on project execution and delivery from early conceptual design to construction and start up and operations. See how project teams proactively reduce capital expenditures (CAPEX) and operating expenses (OPEX) right from the outset.

Track: Engineering, Procurement and Construction In this panel, hear industry experts discuss strategies on project execution and delivery from early conceptual design to construction and start up and operations. See how project teams proactively reduce capital expenditures (CAPEX) and operating expenses (OPEX) right from the outset.

Challenges, Risks and Opportunities in Capital Project Investments and Delivery

Track: Chemicals 




Many companies committed to aggressive carbon-neutral targets are now looking to their sites for plans on how to achieve them. Braskem Idesa has both an aggressive target for emissions reduction in 2028 and net-zero targets for 2050. Looking for partners to help, Emerson and the technology licensor joined forces to create a roadmap to achieve the long-term goals. The presentation will show the two-year collaboration to design the roadmap, deep dive into specific projects, create a marginal abatement cost curve and evaluate new technologies/projects that achieve the 2050 targets, while implementing short-term projects that pave the road to 2028.

Track: Chemicals&nbsp; Many companies committed to aggressive carbon-neutral targets are now looking to their sites for plans on how to achieve them. Braskem Idesa has both an aggressive target for emissions reduction in 2028 and net-zero targets for 2050. Looking for partners to help, Emerson and the technology licensor joined forces to create a roadmap to achieve the long-term goals. The presentation will show the two-year collaboration to design the roadmap, deep dive into specific projects, create a marginal abatement cost curve and evaluate new technologies/projects that achieve the 2050 targets, while implementing short-term projects that pave the road to 2028.

Using Short Term Projects to Pave the Way to Net Zero

Traditional energy, refining and utilities companies require significant changes to create a well-balanced system that supports energy security, equality and environmental sustainability. Our panel of executives and industry experts discuss: 

New Energy and Evolving Business Models
Current industries possess the essential resources and expertise to lead the energy transition, and they are swiftly adjusting business models for a more sustainable future. Simultaneously, new enterprises are emerging, driven by innovations in green hydrogen, ammonia, biofuels and renewable energy.

Reimagining Supply Chains
Companies are reshaping their strategies to produce sustainable fuels, adapt to a circular economy and ensure supply chain resiliency.

The Role of Digital Technologies
Digitalization is vital for designing and operating new processes, managing evolving electrical grids and ensuring flexibility and agility. Companies must leverage operational technologies and data management capabilities to drive efficiency, sustainability and resiliency. Automation and advanced applications are crucial for making new projects and processes feasible.

<span data-sheets-root="1" data-sheets-textstyleruns='{"1":0}{"1":244,"2":{"5":1}}{"1":284}{"1":586,"2":{"5":1}}{"1":612}{"1":748,"2":{"5":1}}{"1":781}' data-sheets-userformat='{"2":2945,"3":{"1":0},"10":1,"11":4,"12":0,"14":{"1":2,"2":7912992}}' data-sheets-value='{"1":2,"2":"Traditional energy, refining and utilities companies require significant changes to create a well-balanced system that supports energy security, equality and environmental sustainability. Our panel of executives and industry experts discuss: \n\nNew Energy and Evolving Business Models\nCurrent industries possess the essential resources and expertise to lead the energy transition, and they are swiftly adjusting business models for a more sustainable future. Simultaneously, new enterprises are emerging, driven by innovations in green hydrogen, ammonia, biofuels and renewable energy.\n\nReimagining Supply Chains\nCompanies are reshaping their strategies to produce sustainable fuels, adapt to a circular economy and ensure supply chain resiliency.\n\nThe Role of Digital Technologies\nDigitalization is vital for designing and operating new processes, managing evolving electrical grids and ensuring flexibility and agility. Companies must leverage operational technologies and data management capabilities to drive efficiency, sustainability and resiliency. Automation and advanced applications are crucial for making new projects and processes feasible."}'>Traditional energy, refining and utilities companies require significant changes to create a well-balanced system that supports energy security, equality and environmental sustainability. Our panel of executives and industry experts discuss: New Energy and Evolving Business Models Current industries possess the essential resources and expertise to lead the energy transition, and they are swiftly adjusting business models for a more sustainable future. Simultaneously, new enterprises are emerging, driven by innovations in green hydrogen, ammonia, biofuels and renewable energy. Reimagining Supply Chains Companies are reshaping their strategies to produce sustainable fuels, adapt to a circular economy and ensure supply chain resiliency. The Role of Digital Technologies Digitalization is vital for designing and operating new processes, managing evolving electrical grids and ensuring flexibility and agility. Companies must leverage operational technologies and data management capabilities to drive efficiency, sustainability and resiliency. Automation and advanced applications are crucial for making new projects and processes feasible.

Executive Dialog #1: Energy Transition and Industry Convergence

Track: Downstream




Learn how AspenTech’s process simulation solution, Aspen HYSYS® and its feedstock optimization solution, Aspen PIMS™ have been integrated into BPCL’s proprietary software BPMARRK®, a patented technology for predicting real-time refining characteristics of crude oils, to achieve greater agility and more accurate decision-making in feedstock selection, monitoring and optimization of crude distillation units performance.

Track: Downstream Learn how AspenTech’s process simulation solution, Aspen HYSYS® and its feedstock optimization solution, Aspen PIMS™ have been integrated into BPCL’s proprietary software BPMARRK®, a patented technology for predicting real-time refining characteristics of crude oils, to achieve greater agility and more accurate decision-making in feedstock selection, monitoring and optimization of crude distillation units performance.

Optimize Operational Performance and Achieve Sustainability in Feedstock Flexibility with BPCL BPMARRK®-AspenTech Integrated Digital Twin Models

Track: Chemicals




In 2022, Engro Polymer and Chemicals started its OT transformation journey by installation of Aspen InfoPlus.21® along with the highest standards for secure data transmissions in line with leading industrial standards of cyber security (ISA-62443-2). Since then, EPCL has expanded its manufacturing digitalization initiatives by commissioning digital twin, multi-variate analysis and plan to adopt Adaptive Process Control in the next phase. We cover in detail the top five success stories and provide insight into how EPCL has derived tangible benefits using innovative AspenTech solutions.

Track: Chemicals In 2022, Engro Polymer and Chemicals started its OT transformation journey by installation of Aspen InfoPlus.21® along with the highest standards for secure data transmissions in line with leading industrial standards of cyber security (ISA-62443-2). Since then, EPCL has expanded its manufacturing digitalization initiatives by commissioning digital twin, multi-variate analysis and plan to adopt Adaptive Process Control in the next phase. We cover in detail the top five success stories and provide insight into how EPCL has derived tangible benefits using innovative AspenTech solutions.

Operational Technology Digitalization Success Stories

Track: Upstream




YPFB has scaled up its asset digital twin for the San Alberto Field (presented at OPTIMIZE 2019, which increased production in 2015 by more than 10%, giving additional incomes of approximately 280 MMUSD in a year) to an enterprise digital twin to generate 8% increase gas production and reductions in field compression power rental fees of 37.3 MMUSD in the San Antonio Field, and project savings of 200 MMUSD for the new field compression project in the Incahuasi Gas Field. The model forecasted gas production increase of 40 MMSCFD for the Margarita Field through asset performance integration between upstream and midstream facilities. The enterprise digital twin, more than achieving large savings and production incrementals, has served for the gas distribution planning under dynamic scenarios such as cutting gas deliveries to the Argentinian market.

Track: Upstream YPFB has scaled up its asset digital twin for the San Alberto Field (presented at OPTIMIZE 2019, which increased production in 2015 by more than 10%, giving additional incomes of approximately 280 MMUSD in a year) to an enterprise digital twin to generate 8% increase gas production and reductions in field compression power rental fees of 37.3 MMUSD in the San Antonio Field, and project savings of 200 MMUSD for the new field compression project in the Incahuasi Gas Field. The model forecasted gas production increase of 40 MMSCFD for the Margarita Field through asset performance integration between upstream and midstream facilities. The enterprise digital twin, more than achieving large savings and production incrementals, has served for the gas distribution planning under dynamic scenarios such as cutting gas deliveries to the Argentinian market.

Increase Gas Production on a Country-Level Basis Using AspenTech Solutions

Track: Chemicals




We discuss the success story of Deepak Phenolics Limited (DPL) in achieving operational excellence in process optimization, debottlenecking, and Advanced Process Control (APC) implementation using various AspenTech tools such as AspenPlus®, Aspen InfoPlus.21®, Aspen Process Explorer™ and Aspen DMCPlus® at India’s Largest Cumene – Phenol Production Complex having a combined production capacity of 4,60,000 MTPA. We discuss how the combination AspenTech tools has helped DPL in performing process simulation and optimization, completion of the adequacy check and debottlenecking study of the plants in record shortest time, successful implementation of Advanced Process Control (APC) along with inferential models for all the key sections of the cumene-phenol plant including cleavage reactor of the phenol plant, integration of Aspen InfoPlus.21 with self-developed Laboratory Information Management System (LIMS),  Production Accounting & Reconciliation (PAR) system. We discuss key strategies used by DPL for innovative and successful utilization of AspenTech tools at each stage and the quantitative benefits achieved by DPL in terms of profitability and productivity-related metrics in addition to enhanced safety of the plants.

Track: Chemicals We discuss the success story of Deepak Phenolics Limited (DPL) in achieving operational excellence in process optimization, debottlenecking, and Advanced Process Control (APC) implementation using various AspenTech tools such as AspenPlus®, Aspen InfoPlus.21®, Aspen Process Explorer™ and Aspen DMCPlus® at India’s Largest Cumene – Phenol Production Complex having a combined production capacity of 4,60,000 MTPA. We discuss how the combination AspenTech tools has helped DPL in performing process simulation and optimization, completion of the adequacy check and debottlenecking study of the plants in record shortest time, successful implementation of Advanced Process Control (APC) along with inferential models for all the key sections of the cumene-phenol plant including cleavage reactor of the phenol plant, integration of Aspen InfoPlus.21 with self-developed Laboratory Information Management System (LIMS), &nbsp;Production Accounting &amp; Reconciliation (PAR) system. We discuss key strategies used by DPL for innovative and successful utilization of AspenTech tools at each stage and the quantitative benefits achieved by DPL in terms of profitability and productivity-related metrics in addition to enhanced safety of the plants.

Operational Excellence in Process Optimization, Debottlenecking and Advanced Process Control (APC) Implementation at India’s Largest Cumene-Phenol Production Complex, Deepak Phenolics Limited, Dahej – Gujarat

Track: Performance Engineering for Energy [Downstream]




Refineries use lab tests to pick catalysts for FCC units, but lab conditions differ from reality. Catalyst factors, a method incorporated into the Aspen HYSYS Catalytic Cracker model, helps bridge this gap. By comparing new catalysts to existing ones, it predicts Fluid catalytic cracking (FCC) unit performance for each option. FCC is a key process in a modern refinery, converting the bottom of the barrel into lighter products, ranging from valuable light olefins, gasoline and middle distillates, thereby enhancing refinery profitability.  This goes beyond just ranking catalysts, allowing refiners to identify potential bottlenecks and opportunities for better profitability, which cannot be offered by a regular catalyst ranking exercise otherwise.

Track: Performance Engineering for Energy [Downstream] Refineries use lab tests to pick catalysts for FCC units, but lab conditions differ from reality. Catalyst factors, a method incorporated into the Aspen HYSYS Catalytic Cracker model, helps bridge this gap. By comparing new catalysts to existing ones, it predicts Fluid catalytic cracking (FCC) unit performance for each option. FCC is a key process in a modern refinery, converting the bottom of the barrel into lighter products, ranging from valuable light olefins, gasoline and middle distillates, thereby enhancing refinery profitability. &nbsp;This goes beyond just ranking catalysts, allowing refiners to identify potential bottlenecks and opportunities for better profitability, which cannot be offered by a regular catalyst ranking exercise otherwise.

Leverage Aspen HYSYS® Catalytic Cracker Model for FCC Catalyst Selection

Track: Performance Engineering for Energy [Upstream]


Repsol’s YME field is an offshore facility located 100km from Stavanger (Norway). This presentation is about a brownfield development project, involving both the reuse of existing facilities and infrastructure and the design and construction of new facilities. The scope of this project includes analyzing the behavior of 70 PID control loops in the actual operative conditions and providing new tuning parameters that will improve the stability of the process. A realistic Aspen HYSYS® Dynamics simulation model based on historical plant data is used to simulate the real slugging conditions and analyze the best tuning strategies."

Track: Performance Engineering for Energy [Upstream] Repsol’s YME field is an offshore facility located 100km from Stavanger (Norway). This presentation is about a brownfield development project, involving both the reuse of existing facilities and infrastructure and the design and construction of new facilities. The scope of this project includes analyzing the behavior of 70 PID control loops in the actual operative conditions and providing new tuning parameters that will improve the stability of the process. A realistic Aspen HYSYS® Dynamics simulation model based on historical plant data is used to simulate the real slugging conditions and analyze the best tuning strategies."

Improve Process Stability Under Slugging Conditions by Optimal Tuning of PID Control Loops Using Dynamic Simulation

Track: Asset Performance Management [Chemicals]




The cutover operation in power substations is a critical process, involving the delicate transition from existing to new infrastructure without interrupting the power supply. This is a high-stakes task due to the possibility of unplanned equipment failure, lack of redundancy and the chance of human mistakes. Aspen Fidelis™ helped assess and quantify the likelihood of power loss during the cutover of a main power substation. 

In this case study, Aspen Fidelis plays a pivotal role for several crucial objectives. It is employed to model the probability of failure in equipment nearing the end of its operational lifespan, adhering to the well-established 'bathtub curve' of reliability. Also, the tool is instrumental in giving insight to the potential for human error throughout the various phases of the cutover process. The detailed simulations created using Aspen Fidelis enabled us to run a series of scenarios that reflect the complex interplay between components failure, lack of redundancy and the unpredictable nature of human intervention. Attendees will gain insights into how modeling tools like Aspen Fidelis can help drive strategic decision-making to ensure power reliability during crucial cutover activities.

Track: Asset Performance Management [Chemicals] The cutover operation in power substations is a critical process, involving the delicate transition from existing to new infrastructure without interrupting the power supply. This is a high-stakes task due to the possibility of unplanned equipment failure, lack of redundancy and the chance of human mistakes. Aspen Fidelis™ helped assess and quantify the likelihood of power loss during the cutover of a main power substation.&nbsp;In this case study, Aspen Fidelis plays a pivotal role for several crucial objectives. It is employed to model the probability of failure in equipment nearing the end of its operational lifespan, adhering to the well-established 'bathtub curve' of reliability. Also, the tool is instrumental in giving insight to the potential for human error throughout the various phases of the cutover process. The detailed simulations created using Aspen Fidelis enabled us to run a series of scenarios that reflect the complex interplay between components failure, lack of redundancy and the unpredictable nature of human intervention. Attendees will gain insights into how modeling tools like Aspen Fidelis can help drive strategic decision-making to ensure power reliability during crucial cutover activities.

Modeling Power Substation Cutover Reliability: Managing Equipment Longevity and Human Errors

Track: Asset Performance Management [Downstream] 




Improving reliability in the refining industry has heightened importance given recent market trends. While the fundamentals of improving reliability remain critical, the emergence of new generative AI-enabled tools could help sustain performance. Refinery outages spiked in 2023, primarily driven by internal reliability issues rather than external factors like adverse weather events. The spike in unplanned outages during this period resulted in significant price increases for refined products, creating an opportunity for reliable refiners to capture additional value. 

Improving reliability requires a holistic approach, starting from equipment design through root cause analysis and corrective actions. The challenge is scaling these reliability strategies across refineries, and digitalization tools can help overcome these challenges. Promising examples of digital-driven value levers include: developing robust equipment strategies using automated failure mode analysis, getting actionable insights from predictive maintenance models and carrying out maintenance strategies with digital work management. AI-assisted equipment strategies allow for rapid deployment of consistent equipment strategies at scale. Machine learning has allowed predictive models to be quickly developed and replicated. AI-assisted maintenance co-pilots" improve maintenance tech efficiency, productivity and quality. 

Ultimately, getting the fundamentals right is essential and leveraging digitalization solutions allows this performance to scale and drives best-in-class reliability."

Track: Asset Performance Management [Downstream]&nbsp; Improving reliability in the refining industry has heightened importance given recent market trends. While the fundamentals of improving reliability remain critical, the emergence of new generative AI-enabled tools could help sustain performance. Refinery outages spiked in 2023, primarily driven by internal reliability issues rather than external factors like adverse weather events. The spike in unplanned outages during this period resulted in significant price increases for refined products, creating an opportunity for reliable refiners to capture additional value.&nbsp;Improving reliability requires a holistic approach, starting from equipment design through root cause analysis and corrective actions. The challenge is scaling these reliability strategies across refineries, and digitalization tools can help overcome these challenges. Promising examples of digital-driven value levers include: developing robust equipment strategies using automated failure mode analysis, getting actionable insights from predictive maintenance models and carrying out maintenance strategies with digital work management. AI-assisted equipment strategies allow for rapid deployment of consistent equipment strategies at scale. Machine learning has allowed predictive models to be quickly developed and replicated. AI-assisted maintenance co-pilots" improve maintenance tech efficiency, productivity and quality.&nbsp;Ultimately, getting the fundamentals right is essential and leveraging digitalization solutions allows this performance to scale and drives best-in-class reliability."

Prerogative for Improving Reliability in Refining Now and Using Digital Tools to Sustain Gains

Track: Control and Optimize [Downstream] 




While refinery-wide offline LP considers all key plant constraints, it lacks the granularity of APC applications. In addition, offline LP lacks the benefit of utilizing real-time measurements and active-constraint feedback in computing unit targets. As a result, there can be a gap between refinery LP plan and actual unit performance. Aspen GDOT helps close this gap by recomputing subset of LP targets in real-time and updating them in APC applications. In this presentation, we will share our experience developing and deploying a large scale Aspen GDOT Middle Distillate Optimizer at Motiva’s Port Arthur Refinery, for a complex middle distillate envelope optimization, designed to set optimal targets for product sulfur on hydro-treaters and cut-points on crude units.

Track: Control and Optimize [Downstream]&nbsp; While refinery-wide offline LP considers all key plant constraints, it lacks the granularity of APC applications. In addition, offline LP lacks the benefit of utilizing real-time measurements and active-constraint feedback in computing unit targets. As a result, there can be a gap between refinery LP plan and actual unit performance. Aspen GDOT helps close this gap by recomputing subset of LP targets in real-time and updating them in APC applications. In this presentation, we will share our experience developing and deploying a large scale Aspen GDOT Middle Distillate Optimizer at Motiva’s Port Arthur Refinery, for a complex middle distillate envelope optimization, designed to set optimal targets for product sulfur on hydro-treaters and cut-points on crude units.

Closing the Loop Between Refinery LP and Unit APCs Through Aspen GDOT™ for Middle Distillate Envelope Optimization

Track: Control and Optimize [Upstream]

Minimizing carbon emissions in the process of hydrocarbon energy production is an important aspect of sustainably managing the transition to a less carbon-intensive energy mix. DMC has been well utilized within hydrocarbon industries in achieving economic optimization outcomes. At bp, we identified an opportunity to use DMC to drive environmental optimization outcomes as well, and have done so at a few of our LNG/NG facilities. Our paper will discuss the sustained emissions reductions achieved from these DMC applications, as well as the challenges resulting from the process of commissioning these applications at remotely situated sites.

Track: Control and Optimize [Upstream]Minimizing carbon emissions in the process of hydrocarbon energy production is an important aspect of sustainably managing the transition to a less carbon-intensive energy mix. DMC has been well utilized within hydrocarbon industries in achieving economic optimization outcomes. At bp, we identified an opportunity to use DMC to drive environmental optimization outcomes as well, and have done so at a few of our LNG/NG facilities. Our paper will discuss the sustained emissions reductions achieved from these DMC applications, as well as the challenges resulting from the process of commissioning these applications at remotely situated sites.

Using DMC to Achieve Sustainable Emissions Reductions

Track: Plan and Schedule [Downstream]




The energy transition has created challenges for companies in the oil & gas sector, focused on accounting, reporting and reducing emissions associated with their operations. In this regard, AspenTech provides software solutions like Aspen PIMS-AO, which, beyond supporting planning tasks, can be used as a means to achieve scope 1 and 2 emissions reporting for oil companies. This session addresses this issue from a practical experience, showing the benefits achieved by the Grupo Ecopetrol in terms of carbon footprint monitoring.

Track: Plan and Schedule [Downstream] The energy transition has created challenges for companies in the oil &amp; gas sector, focused on accounting, reporting and reducing emissions associated with their operations. In this regard, AspenTech provides software solutions like Aspen PIMS-AO, which, beyond supporting planning tasks, can be used as a means to achieve scope 1 and 2 emissions reporting for oil companies. This session addresses this issue from a practical experience, showing the benefits achieved by the Grupo Ecopetrol in terms of carbon footprint monitoring.

Inclusion of the Carbon Footprint in the Barrancabermeja Refinery Monthly Supply Plan Using Aspen PIMS-AO™

Track: Plan and Schedule [Chemicals]




We review the value opportunities, project lessons learned and provide an overview of the tools and techniques required to successfully integrate Aspen DMC3 and Aspen PIMS-AO data sources into Power BI datasets and reports. The session also demonstrates a Power BI data model combining Aspen PIMS-AO, Aspen DMC3 and other data sources into a single dataset supporting multiple workflows, including APC controller constraint and value reporting, production forecast-actual variance analysis and offline Aspen PIMS-AO model tuning and validation.

Track: Plan and Schedule [Chemicals] We review the value opportunities, project lessons learned and provide an overview of the tools and techniques required to successfully integrate Aspen DMC3 and Aspen PIMS-AO data sources into Power BI datasets and reports. The session also demonstrates a Power BI data model combining Aspen PIMS-AO, Aspen DMC3 and other data sources into a single dataset supporting multiple workflows, including APC controller constraint and value reporting, production forecast-actual variance analysis and offline Aspen PIMS-AO model tuning and validation.

Power BI for Aspen DMC3™ Constraint and Value Reporting and Aspen PIMS-AO™ Model Tuning and Validation

Track: Performance Engineering for Project Execution




This presentation provides insights on the chemistry and process fundamentals using a surrogate solvent system and discusses results from scaling down the commercial carbon capture technology into specific fundamental phenomena through modeling and targeted experimentation such as thermodynamic/physical properties measurements, wetted wall experiments for kinetics, rate-based process simulation / optimization etc.

Track: Performance Engineering for Project Execution This presentation provides insights on the chemistry and process fundamentals using a surrogate solvent system and discusses results from scaling down the commercial carbon capture technology into specific fundamental phenomena through modeling and targeted experimentation such as thermodynamic/physical properties measurements, wetted wall experiments for kinetics, rate-based process simulation / optimization etc.

“Scaling Down” CO2 Capture Technology: Chemistry and Process Fundamentals

Track: Control and Optimize [Chemicals]




The deactivation of Advanced Process Control (APC) can occur when a production unit operates at less than 85% of its maximum capacity. Various factors contribute to running at lower rates, such as turnarounds in the up- or downstream units, market demand fluctuations and inventory management. This presentation explores considerations for adjusting both DCS and advanced process control strategies needed to successfully optimize productions with APC while operating at reduced rates. Two case studies are used to illustrate the distinctions between high and low rates operations and control strategies. The primary business objective is to ensure the ongoing utilization of Aspen DMC3™ technology under diverse operating conditions, optimizing energy usage and preserving product quality.

Track: Control and Optimize [Chemicals] The deactivation of Advanced Process Control (APC) can occur when a production unit operates at less than 85% of its maximum capacity. Various factors contribute to running at lower rates, such as turnarounds in the up- or downstream units, market demand fluctuations and inventory management. This presentation explores considerations for adjusting both DCS and advanced process control strategies needed to successfully optimize productions with APC while operating at reduced rates. Two case studies are used to illustrate the distinctions between high and low rates operations and control strategies. The primary business objective is to ensure the ongoing utilization of Aspen DMC3™ technology under diverse operating conditions, optimizing energy usage and preserving product quality.

Maximizing APC Utilization and Benefits at Low Production Rates

Track: Performance Engineering for Chemicals
 
Aspen Hybrid Models enhance first principles models with AI to help account for unknown effects that are not well posed under a first principles approach. In this talk, we review two DuPont cases using AspenHybrid Models™. In the first case, an Aspen Hybrid Models soft sensor model is used to predict and control the polymer viscosity leaving a CSTR. The second case uses the Aspen Hybrid Model to modify a batch process recipe to simultaneously meet several product specifications given actual measured raw material quality. It is also used to propose modifications to correct a batch that has drifted off-specification. 
 
Both cases demonstrate how facile Aspen Hybrid Models is for applications where all the underlying mechanisms are not well known or inline properties are not easy to directly measure. 

<span data-sheets-root="1" data-sheets-userformat='{"2":2945,"3":{"1":0},"10":1,"11":4,"12":0,"14":{"1":2,"2":0}}' data-sheets-value='{"1":2,"2":"Track: Performance Engineering for Chemicals\n\r\nAspen Hybrid Models enhance first principles models with AI to help account for unknown effects that are not well posed under a first principles approach. In this talk, we review two DuPont cases using AspenHybrid Models™. In the first case, an Aspen Hybrid Models soft sensor model is used to predict and control the polymer viscosity leaving a CSTR. The second case uses the Aspen Hybrid Model to modify a batch process recipe to simultaneously meet several product specifications given actual measured raw material quality. It is also used to propose modifications to correct a batch that has drifted off-specification.\r\n\r\nBoth cases demonstrate how facile Aspen Hybrid Models is for applications where all the underlying mechanisms are not well known or inline properties are not easy to directly measure."}'>Track: Performance Engineering for Chemicals Aspen Hybrid Models enhance first principles models with AI to help account for unknown effects that are not well posed under a first principles approach. In this talk, we review two DuPont cases using AspenHybrid Models™. In the first case, an Aspen Hybrid Models soft sensor model is used to predict and control the polymer viscosity leaving a CSTR. The second case uses the Aspen Hybrid Model to modify a batch process recipe to simultaneously meet several product specifications given actual measured raw material quality. It is also used to propose modifications to correct a batch that has drifted off-specification. Both cases demonstrate how facile Aspen Hybrid Models is for applications where all the underlying mechanisms are not well known or inline properties are not easy to directly measure.

DuPont™ Utilizes Aspen Hybrid Models™ to Optimize Batch Product Quality and Control CSTR Viscosity with a Soft Sensor to Reduce Off-Specification Product and Increase Productivity

To thrive in today's competitive landscape, businesses must strategically attract, retain and inspire talent by focusing on knowledge transfer, process automation, AI utilization and organizational excellence. Asset-intensive industries must actively draw experts in analytics and AI to bolster resilience and adaptability. Our panel of executives and industry experts discuss:

Driving Performance While Transforming
Many companies face the challenge of optimizing existing businesses while transforming at the same time, with profitability of legacy operations fueling the investment in new businesses. Stakeholder competing interests must be balanced while executing the corporate strategy.

The Evolution of Work
Companies are adapting their operating models, incorporating remote, semi-autonomous or fully autonomous operations. Digitalization, including AI, enhances efficiency, automates tasks, facilitates decision-making and boosts performance, even for less experienced workers.

Strategies to Attract and Retain Talent
To meet workforce demands, companies must upskill and retrain existing workers and attract new talent. The next-gen workforce should blend subject matter expertise, domain knowledge and cross-functional collaboration – and a strong sustainability strategy is crucial for asset-intensive industries to attract this talent.

<span data-sheets-root="1" data-sheets-textstyleruns='{"1":0}{"1":379,"2":{"5":1}}{"1":418}{"1":695,"2":{"5":1}}{"1":717}{"1":990,"2":{"5":1}}{"1":1030}' data-sheets-userformat='{"2":2945,"3":{"1":0},"10":1,"11":4,"12":0,"14":{"1":2,"2":7912992}}' data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;To thrive in today's competitive landscape, businesses must strategically attract, retain and inspire talent by focusing on knowledge transfer, process automation, AI utilization and organizational excellence. Asset-intensive industries must actively draw experts in analytics and AI to bolster resilience and adaptability. Our panel of executives and industry experts discuss:\n\nDriving Performance While Transforming\nMany companies face the challenge of optimizing existing businesses while transforming at the same time, with profitability of legacy operations fueling the investment in new businesses. Stakeholder competing interests must be balanced while executing the corporate strategy.\n\nThe Evolution of Work\nCompanies are adapting their operating models, incorporating remote, semi-autonomous or fully autonomous operations. Digitalization, including AI, enhances efficiency, automates tasks, facilitates decision-making and boosts performance, even for less experienced workers.\n\nStrategies to Attract and Retain Talent\nTo meet workforce demands, companies must upskill and retrain existing workers and attract new talent. The next-gen workforce should blend subject matter expertise, domain knowledge and cross-functional collaboration – and a strong sustainability strategy is crucial for asset-intensive industries to attract this talent.&quot;}">To thrive in today's competitive landscape, businesses must strategically attract, retain and inspire talent by focusing on knowledge transfer, process automation, AI utilization and organizational excellence. Asset-intensive industries must actively draw experts in analytics and AI to bolster resilience and adaptability. Our panel of executives and industry experts discuss: Driving Performance While Transforming Many companies face the challenge of optimizing existing businesses while transforming at the same time, with profitability of legacy operations fueling the investment in new businesses. Stakeholder competing interests must be balanced while executing the corporate strategy. The Evolution of Work Companies are adapting their operating models, incorporating remote, semi-autonomous or fully autonomous operations. Digitalization, including AI, enhances efficiency, automates tasks, facilitates decision-making and boosts performance, even for less experienced workers. Strategies to Attract and Retain Talent To meet workforce demands, companies must upskill and retrain existing workers and attract new talent. The next-gen workforce should blend subject matter expertise, domain knowledge and cross-functional collaboration – and a strong sustainability strategy is crucial for asset-intensive industries to attract this talent.

Executive Dialog #2: Operational and Organizational Excellence

Track: Digital Grid Management




This session covers AspenTech OSI CHRONUS Historian, the next generation historian with functionality including data aggregation, visualization and analysis, enterprise connectivity, big data scalability and adaptability. Learn how customers are using AspenTech OSI CHRONUS Historian for advanced analytics and how it is evolving to meet emerging use cases and customer requirements. This session is intended for users managing system data archiving and data analytics and operations staff who rely on historical data to run their daily power grid operations and will include product updates, roadmap updates, demos and customer presentations and a panel.

Track: Digital Grid Management This session covers AspenTech OSI CHRONUS Historian, the next generation historian with functionality including data aggregation, visualization and analysis, enterprise connectivity, big data scalability and adaptability. Learn how customers are using AspenTech OSI CHRONUS Historian for advanced analytics and how it is evolving to meet emerging use cases and customer requirements. This session is intended for users managing system data archiving and data analytics and operations staff who rely on historical data to run their daily power grid operations and will include product updates, roadmap updates, demos and customer presentations and a panel.

AspenTech OSI CHRONUS Historian™ for Highly Efficient Data Warehousing

Track: Digital Grid Management




This is the second of two sessions covering AspenTech OSI Advanced Distribution Management System™ (ADMS) functionality including distribution network modelling with eMap and advanced applications including VVC, FLISR, power flow, state estimator, short-circuit analysis and more. It will also include SOM Planner (Switch Order Management) for switch order and permit management and the Outplan product for managing enterprise outage requests. This session is intended for operations and engineering staff responsible for efficiently managing the electric distribution system and focuses on customer presentations including a customer panel session.

Track: Digital Grid Management This is the second of two sessions covering AspenTech OSI Advanced Distribution Management System™ (ADMS) functionality including distribution network modelling with eMap and advanced applications including VVC, FLISR, power flow, state estimator, short-circuit analysis and more. It will also include SOM Planner (Switch Order Management) for switch order and permit management and the Outplan product for managing enterprise outage requests. This session is intended for operations and engineering staff responsible for efficiently managing the electric distribution system and focuses on customer presentations including a customer panel session.

Distribution Management: Customer Presentations, Panel and Roadmap

Track: Digital Grid Management




This is the second of two sessions covering AspenTech OSI Energy Management System™ (EMS) functionality, including Network Security Analysis, Operator Training Simulator, Network Model Management, Dynamic Line Rating solution to support FERC 881, Dynamic Security Assessment and more. It will also include SOM Planner (Switch Order Management) for switch order and permit management and Outplan for managing planned outages. This session is intended for engineering and operations staff responsible for managing the electric transmission network and focuses on customer presentations including a customer panel session.

Track: Digital Grid Management This is the second of two sessions covering AspenTech OSI Energy Management System™ (EMS) functionality, including Network Security Analysis, Operator Training Simulator, Network Model Management, Dynamic Line Rating solution to support FERC 881, Dynamic Security Assessment and more. It will also include SOM Planner (Switch Order Management) for switch order and permit management and Outplan for managing planned outages. This session is intended for engineering and operations staff responsible for managing the electric transmission network and focuses on customer presentations including a customer panel session.

Transmission Management: Customer Presentations and Panel

Track: Performance Engineering for Energy [Downstream]




Oil refineries have been using process simulation models in the past to predict process conditions and production yields. However, these models are often limited in their ability to continuously reflect changes in operating conditions and process facilities, resulting in lower utilization of these models as compared to when they were initially deployed. HD HYUNDAI OILBANK has addressed this challenge by deploying its 'Process Digital Twin' project. The project leverages Aspen HYSYS EO (Equation oriented solver) technology and Aspen OnLine® to model 8 major units associated with the FCC process. The digital twin model is configured to take process conditions (data) from Real-time data base (RTDB), execute reconciliation and send calculated reconciled yield data and equipment performance index like column efficiency, heat exchanger's UA back to the RTDB system.

Track: Performance Engineering for Energy [Downstream] Oil refineries have been using process simulation models in the past to predict process conditions and production yields. However, these models are often limited in their ability to continuously reflect changes in operating conditions and process facilities, resulting in lower utilization of these models as compared to when they were initially deployed. HD HYUNDAI OILBANK has addressed this challenge by deploying its 'Process Digital Twin' project. The project leverages Aspen HYSYS EO (Equation oriented solver) technology and Aspen OnLine® to model 8 major units associated with the FCC process. The digital twin model is configured to take process conditions (data) from Real-time data base (RTDB), execute reconciliation and send calculated reconciled yield data and equipment performance index like column efficiency, heat exchanger's UA back to the RTDB system.

Online Process Digital Twin Using Aspen HYSYS® Enables Real-Time Decision Making to Meet Sustainability Goals

Track: Plan and Schedule [Downstream]

Achieving bio-compliance in all our market areas has proven to be a significant optimization problem. Learn all about our strategic partnership with AspenTech in solving the challenges of the future and all various applications for bio-optimization which we will implement in continuously changing environments.

Track: Plan and Schedule [Downstream]Achieving bio-compliance in all our market areas has proven to be a significant optimization problem. Learn all about our strategic partnership with AspenTech in solving the challenges of the future and all various applications for bio-optimization which we will implement in continuously changing environments.

Bio-Optimization at OMV: Finding the Right Recipe in Changing Environments

Track: Control and Optimize [Downstream]

The ULC (Hydrocracker) Conversion Minimization project provided an application to lower conversion subject to one of twelve VRU (Vapor Recovery) constraints with the debutanizer condenser delta temperature low limit being the most common constraint. This technology leveraged two existing DMC3 controllers: Reactor DMC3 and VRU DMC3. The application method required the VRU DMC3 to have conversion as a manipulated variable and the Reactor DMC3 to have conversion as a controlled variable. Reactor DMC3 does over one hundred calculations for the low and high conversion limits. The VRU DMC does additional calculations to set the best conversion target as a function of total feed rate. This application lowered conversion 2.2%.

Track: Control and Optimize [Downstream]The ULC (Hydrocracker) Conversion Minimization project provided an application to lower conversion subject to one of twelve VRU (Vapor Recovery) constraints with the debutanizer condenser delta temperature low limit being the most common constraint. This technology leveraged two existing DMC3 controllers: Reactor DMC3 and VRU DMC3. The application method required the VRU DMC3 to have conversion as a manipulated variable and the Reactor DMC3 to have conversion as a controlled variable. Reactor DMC3 does over one hundred calculations for the low and high conversion limits. The VRU DMC does additional calculations to set the best conversion target as a function of total feed rate. This application lowered conversion 2.2%.

Hydrocracker Conversion Minimization Leverage Aspen DMC3™ Cascade

Track: Control and Optimize [Upstream]




Within the dynamic oil and gas industry, marked by heightened market volatility, the evolution of asset management strategies is imperative to achieve energy efficiency targets and increase operational excellence to support net-zero policy. This presentation unveils a progressive extension of Advanced Process Control (APC) techniques on an operating Upstream production plant, handling the exploitation of a giant brown oil and gas field. The aim is to optimize process parameters and elevate product specifications, thereby contributing significantly to the overarching goal of reducing the industry's carbon footprint.

Track: Control and Optimize [Upstream] Within the dynamic oil and gas industry, marked by heightened market volatility, the evolution of asset management strategies is imperative to achieve energy efficiency targets and increase operational excellence to support net-zero policy. This presentation unveils a progressive extension of Advanced Process Control (APC) techniques on an operating Upstream production plant, handling the exploitation of a giant brown oil and gas field. The aim is to optimize process parameters and elevate product specifications, thereby contributing significantly to the overarching goal of reducing the industry's carbon footprint.

Enhance Asset Management Through Overall and Integrated Application of Advanced Process Control in Oil and Gas Upstream Field

Track: Performance Engineering for Chemicals




Many chemical plants have been running for decades and certain operating modes and behaviors have been established over this time. While those operating modes help to run the plant consistently and meet the required production targets, they are not necessarily the most optimal settings for energy consumption and other categories. This presentation shows how rigorous rate-based models, combined with state-of-the-art optimization techniques, can lead to optimal operating conditions reducing operator interventions and energy consumption, reducing the CO2 footprint of the plant. This will be shown at the example of an extractive distillation section of a plant.

Track: Performance Engineering for Chemicals Many chemical plants have been running for decades and certain operating modes and behaviors have been established over this time. While those operating modes help to run the plant consistently and meet the required production targets, they are not necessarily the most optimal settings for energy consumption and other categories. This presentation shows how rigorous rate-based models, combined with state-of-the-art optimization techniques, can lead to optimal operating conditions reducing operator interventions and energy consumption, reducing the CO2 footprint of the plant. This will be shown at the example of an extractive distillation section of a plant.

Improving Plant Performance Using Rigorous Rate-based Models and Modern Optimization Techniques

Track: Performance Engineering for Project Execution [Engineering, Procurement and Construction]




ZCS used Aspen Custom Modeler® as their primary modelling platform, both to regress kinetics and physical properties and to develop a highly integrated heat and mass balance to estimate the overall process performance. ZCS used the ACM model to estimate the operating expenses and send sizing information to Aspen Capital Cost Estimator™ and Aspen Exchanger Design & Rating™ to provide a robust framework for possible capital expenditure. Using this integrated suite, ZCS reviewed a range of design concepts and potential operating strategies to develop an extremely attractive process design that is now moving forward into detailed engineering.

Track: Performance Engineering for Project Execution [Engineering, Procurement and Construction] ZCS used Aspen Custom Modeler® as their primary modelling platform, both to regress kinetics and physical properties and to develop a highly integrated heat and mass balance to estimate the overall process performance. ZCS used the ACM model to estimate the operating expenses and send sizing information to Aspen Capital Cost Estimator™ and Aspen Exchanger Design &amp; Rating™ to provide a robust framework for possible capital expenditure. Using this integrated suite, ZCS reviewed a range of design concepts and potential operating strategies to develop an extremely attractive process design that is now moving forward into detailed engineering.

Concurrent Design and Optimization of a Direct Air Capture Facility

Track: Plan and Schedule [Chemicals]




Chevron Phillips Chemical (CPChem) stands as a prominent global olefins producer located in the US Gulf Coast. In recent years, the company has successfully incorporated the Aspen Unified PIMS™ system into its operations, concentrating on production planning and optimization across its diverse steam cracker sites. Expanding upon this digital transformation journey, this presentation covers CPChem's progressive adoption of Aspen Unified Reconciliation and Accounting™ (AURA) solution and its associated benefits. We explore the product experience as it applied to CP Chem yield accounting processes, providing insights into the technical aspects, the challenges faced and the expected benefits set to enhance production efficiency and performance.

Track: Plan and Schedule [Chemicals] Chevron Phillips Chemical (CPChem) stands as a prominent global olefins producer located in the US Gulf Coast. In recent years, the company has successfully incorporated the Aspen Unified PIMS™ system into its operations, concentrating on production planning and optimization across its diverse steam cracker sites. Expanding upon this digital transformation journey, this presentation covers CPChem's progressive adoption of Aspen Unified Reconciliation and Accounting™ (AURA) solution and its associated benefits. We explore the product experience as it applied to CP Chem yield accounting processes, providing insights into the technical aspects, the challenges faced and the expected benefits set to enhance production efficiency and performance.

Improving Yield Accounting with AURA Adoption

Track: Control and Optimize [Chemicals] [Various Industries]




This panel session brings together industry experts from Mitsubishi Chemical Company, SIPCHEM and i-APC to discuss advancements in nonlinear advanced process control (APC) for improving polymer production. Attendees can expect to gain valuable knowledge and practical strategies for implementing nonlinear APC solutions in their own production environments to achieve higher performance and competitiveness in the polymer industry.

Track: Control and Optimize [Chemicals] [Various Industries] This panel session brings together industry experts from Mitsubishi Chemical Company, SIPCHEM and i-APC to discuss advancements in nonlinear advanced process control (APC) for improving polymer production. Attendees can expect to gain valuable knowledge and practical strategies for implementing nonlinear APC solutions in their own production environments to achieve higher performance and competitiveness in the polymer industry.

Improving Polymer Production with Nonlinear APC

Track: Performance Engineering for Energy [Upstream]

GasPipeTrack (GPT) by InProcess transforms gas inventory assessment using Aspen HYSYS® simulation. Focused on the 3R Petroleum gas pipeline, GPT calculates daily inventory considering injection (e.g., Field Cacto) and consumption points (e.g., Steam Generators). It employs flow data and measurements for accurate Aspen HYSYS-based calculations, factoring in pressure, temperature and composition. Three components—Application for Inventory Calculation, Stand-alone Mode and Execution Monitoring Service—enable user-friendly configuration, periodic evaluation and independent operation with MS Excel or third-party apps. The Execution Monitoring Service coordinates data recovery, triggering gas flow accounting, vital when companies contribute differently. GPT, integral to managing the Natural Gas Market (monthly turnover ~2.0 M US$), also explores interfacing with third-party apps, detailing a monitoring service for data availability, import/export, connection and email generation. GasPipeTrack's Aspen HYSYS integration offers a robust, real-time gas inventory solution.

<span data-sheets-root="1" data-sheets-userformat='{"2":15277,"3":{"1":0},"5":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"6":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"8":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"10":0,"11":4,"12":0,"14":{"1":2,"2":0},"15":"Calibri, sans-serif","16":12}' data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;Track: Performance Engineering for Energy [Upstream]\n\nGasPipeTrack (GPT) by InProcess transforms gas inventory assessment using Aspen HYSYS® simulation. Focused on the 3R Petroleum gas pipeline, GPT calculates daily inventory considering injection (e.g., Field Cacto) and consumption points (e.g., Steam Generators). It employs flow data and measurements for accurate Aspen HYSYS-based calculations, factoring in pressure, temperature and composition. Three components—Application for Inventory Calculation, Stand-alone Mode and Execution Monitoring Service—enable user-friendly configuration, periodic evaluation and independent operation with MS Excel or third-party apps. The Execution Monitoring Service coordinates data recovery, triggering gas flow accounting, vital when companies contribute differently. GPT, integral to managing the Natural Gas Market (monthly turnover ~2.0 M US$), also explores interfacing with third-party apps, detailing a monitoring service for data availability, import/export, connection and email generation. GasPipeTrack's Aspen HYSYS integration offers a robust, real-time gas inventory solution.&quot;}">Track: Performance Engineering for Energy [Upstream] GasPipeTrack (GPT) by InProcess transforms gas inventory assessment using Aspen HYSYS® simulation. Focused on the 3R Petroleum gas pipeline, GPT calculates daily inventory considering injection (e.g., Field Cacto) and consumption points (e.g., Steam Generators). It employs flow data and measurements for accurate Aspen HYSYS-based calculations, factoring in pressure, temperature and composition. Three components—Application for Inventory Calculation, Stand-alone Mode and Execution Monitoring Service—enable user-friendly configuration, periodic evaluation and independent operation with MS Excel or third-party apps. The Execution Monitoring Service coordinates data recovery, triggering gas flow accounting, vital when companies contribute differently. GPT, integral to managing the Natural Gas Market (monthly turnover ~2.0 M US$), also explores interfacing with third-party apps, detailing a monitoring service for data availability, import/export, connection and email generation. GasPipeTrack's Aspen HYSYS integration offers a robust, real-time gas inventory solution.

Application of Process Simulation in Gas Pipeline Management for Inventory Evaluation

Track: Asset Performance Management [Downstream]




This session covers a detailed study of the kingdom-wide RAM model for oil, gas and NGL assets using Aspen Fidelis™ that reflects the geometries and local networks of existing facilities and associated pipelines with quantification of interaction between facilities/blocks. RAM study results support the evaluation of unit performance and production planning, improve understanding of reservoir management tasks, enhance understanding of refinery feed rates and final product yields, clarify individual consumer demands and deliverability, load shedding priorities and revenue accounting. The study further helps in data-driven decision-making to discover various improvement opportunities in each block including improving safety, O&M performance and reducing asset LCC.

Track: Asset Performance Management [Downstream] This session covers a detailed study of the kingdom-wide RAM model for oil, gas and NGL assets using Aspen Fidelis™ that reflects the geometries and local networks of existing facilities and associated pipelines with quantification of interaction between facilities/blocks. RAM study results support the evaluation of unit performance and production planning, improve understanding of reservoir management tasks, enhance understanding of refinery feed rates and final product yields, clarify individual consumer demands and deliverability, load shedding priorities and revenue accounting. The study further helps in data-driven decision-making to discover various improvement opportunities in each block including improving safety, O&amp;M performance and reducing asset LCC.

Kingdom-Wide RAM Study: Decoding Physical Assets, Delivering Sustainable Growth

Track: Performance Engineering for Energy [Downstream]




Kuwait Integrated Petroleum Industries Company (KIPIC) stands at the forefront of innovation in the oil and gas industry, demonstrating a visionary approach to address the complexities arising from different crude types. Operating at a substantial throughput of 615 thousand barrels per day (KBPD), this paper embarks on a comprehensive exploration of how KIPIC, particularly with the completion of its third mini refinery in December, exemplifies industry leadership in navigating the intricacies of different crude types. As crude oil sources evolve, refineries face increasing challenges due to crude assay variations. AspenTech provides solutions like Aspen HYSYS® Refinery Wide Model (RWM), which empowers KIPIC with real-time monitoring, analytics and advanced modeling of the whole refinery process units. The alignment underscores KIPIC's commitment to staying at the forefront of technological innovation, ensuring sustained excellence in refining processes and contributing to the overall resilience and competitiveness of the company in the future energy landscape.

Track: Performance Engineering for Energy [Downstream] Kuwait Integrated Petroleum Industries Company (KIPIC) stands at the forefront of innovation in the oil and gas industry, demonstrating a visionary approach to address the complexities arising from different crude types. Operating at a substantial throughput of 615 thousand barrels per day (KBPD), this paper embarks on a comprehensive exploration of how KIPIC, particularly with the completion of its third mini refinery in December, exemplifies industry leadership in navigating the intricacies of different crude types. As crude oil sources evolve, refineries face increasing challenges due to crude assay variations. AspenTech provides solutions like Aspen HYSYS® Refinery Wide Model (RWM), which empowers KIPIC with real-time monitoring, analytics and advanced modeling of the whole refinery process units. The alignment underscores KIPIC's commitment to staying at the forefront of technological innovation, ensuring sustained excellence in refining processes and contributing to the overall resilience and competitiveness of the company in the future energy landscape.

KIPIC's Visionary Leadership and AspenTech Solutions in Enhancing Operational Excellence

Track: Asset Performance Management [Chemicals] 




As today’s operations grow in complexity, they can experience equally complex problems that threaten performance – but how can you quickly identify and resolve issues while keeping an eye on profitability? 

Together, AspenTech and Emerson provide solutions that deliver better decisions from edge to enterprise – from sensors on the plant floor to the boardroom – across the lifecycle of your facility. In this session, you'll discover how our comprehensive reliability solution uses a centralized data management system to consolidate disparate data sources and apply advanced analytics for smarter decision-making. 

AspenTech and Emerson surface actionable insights from your industrial data from multiple sources like AMS Device Manager, AMS Machine Works and Aspen Mtell to drive better results.

Track: Asset Performance Management [Chemicals]&nbsp; As today’s operations grow in complexity, they can experience equally complex problems that threaten performance – but how can you quickly identify and resolve issues while keeping an eye on profitability?&nbsp;Together, AspenTech and Emerson provide solutions that deliver better decisions from edge to enterprise – from sensors on the plant floor to the boardroom – across the lifecycle of your facility. In this session, you'll discover how our comprehensive reliability solution uses a centralized data management system to consolidate disparate data sources and apply advanced analytics for smarter decision-making.&nbsp;AspenTech and Emerson surface actionable insights from your industrial data from multiple sources like AMS Device Manager, AMS Machine Works and Aspen Mtell to drive better results.

Enterprise Reliability Solution with Aspen Mtell® and Emerson AMS

Asset-intensive industries have access to diverse technologies for optimizing operations, including AI and quantum computing. Sustainability and decarbonization are driving innovative solutions. To navigate this complex landscape, companies need robust selection processes and effective adoption, sustainment and scaling methods to achieve expected returns while managing risks. Our panel of executives and industry experts discuss:

AI Today and Future Potential
Executives prioritize AI in strategic business decisions and continue to assess AI technologies, pinpoint promising use cases and address data management and cybersecurity. Leading companies are gearing up to scale AI in high-value applications.

Risk Management and Cyber Security
Asset-intensive and critical infrastructure industries must understand the evolving risk landscape, prioritize cyber security, adapt continuously to mitigate risks and address the new opportunities and risks presented by AI. 

Strategies to Unlock Technology’s Potential
With a focus on technology rather than use cases and business goals, early industrial digital transformations had mixed results. Pragmatic leaders and partners now emphasize best practices, including change management and workforce development.

<span data-sheets-root="1" data-sheets-textstyleruns='{"1":0}{"1":434,"2":{"5":1}}{"1":464}{"1":711,"2":{"5":1}}{"1":746}{"1":973,"2":{"5":1}}{"1":1017}' data-sheets-userformat='{"2":2945,"3":{"1":0},"10":1,"11":4,"12":0,"14":{"1":2,"2":7912992}}' data-sheets-value='{"1":2,"2":"Asset-intensive industries have access to diverse technologies for optimizing operations, including AI and quantum computing. Sustainability and decarbonization are driving innovative solutions. To navigate this complex landscape, companies need robust selection processes and effective adoption, sustainment and scaling methods to achieve expected returns while managing risks. Our panel of executives and industry experts discuss:\n\nAI Today and Future Potential\nExecutives prioritize AI in strategic business decisions and continue to assess AI technologies, pinpoint promising use cases and address data management and cybersecurity. Leading companies are gearing up to scale AI in high-value applications.\n\nRisk Management and Cyber Security\nAsset-intensive and critical infrastructure industries must understand the evolving risk landscape, prioritize cyber security, adapt continuously to mitigate risks and address the new opportunities and risks presented by AI.\r\n\nStrategies to Unlock Technology’s Potential\nWith a focus on technology rather than use cases and business goals, early industrial digital transformations had mixed results. Pragmatic leaders and partners now emphasize best practices, including change management and workforce development."}'>Asset-intensive industries have access to diverse technologies for optimizing operations, including AI and quantum computing. Sustainability and decarbonization are driving innovative solutions. To navigate this complex landscape, companies need robust selection processes and effective adoption, sustainment and scaling methods to achieve expected returns while managing risks. Our panel of executives and industry experts discuss: AI Today and Future Potential Executives prioritize AI in strategic business decisions and continue to assess AI technologies, pinpoint promising use cases and address data management and cybersecurity. Leading companies are gearing up to scale AI in high-value applications. Risk Management and Cyber Security Asset-intensive and critical infrastructure industries must understand the evolving risk landscape, prioritize cyber security, adapt continuously to mitigate risks and address the new opportunities and risks presented by AI. Strategies to Unlock Technology’s Potential With a focus on technology rather than use cases and business goals, early industrial digital transformations had mixed results. Pragmatic leaders and partners now emphasize best practices, including change management and workforce development.

Executive Dialog #3: Scaling and Adopting Technology

Track: Performance Engineering for Energy [Downstream]




HPCL has embarked on a digital transformation journey with a goal to become a digital first organization, harnessing the latest innovative technologies to achieve our business objectives such as improving operational efficiency, reducing costs, streamlining our supply chain and also becoming more flexible, agile and responsive to the ever-changing market dynamics. Product quality assessment in any petroleum processing industry can be difficult and time-consuming, but is important to inform whether the products of the process are within the specifications. In particular, the delays caused by sample processing (collection, laboratory measurements, results analysis, reporting) can lead to detrimental economic effects.

One of the strategies to deal with this problem is machine learning-based soft sensors—a collection of models that can be used to predict and forecast some infrequently measured properties (such as laboratory measurements of petroleum products) based on more frequent measurements of parameters like temperature, pressure and flow rate provided by physical sensors. HPCL - Mumbai refinery has developed sensor models using AspenTech’s AI Model Builder to predict viscosity of 1st side stream of vacuum distillation unit and has deployed the model online using Aspen OnLine®. This real-time properties prediction helps in optimizing the VDU unit to reduce quality giveaways and improve product yields. Also, with enough model confidence, we can minimize laboratory analysis to reduce plant OPEX and increase refinery margins. This session provides insight into the development, testing and online deployment of this model along with the realized benefits at Mumbai refinery.

Track: Performance Engineering for Energy [Downstream] HPCL has embarked on a digital transformation journey with a goal to become a digital first organization, harnessing the latest innovative technologies to achieve our business objectives such as improving operational efficiency, reducing costs, streamlining our supply chain and also becoming more flexible, agile and responsive to the ever-changing market dynamics. Product quality assessment in any petroleum processing industry can be difficult and time-consuming, but is important to inform whether the products of the process are within the specifications. In particular, the delays caused by sample processing (collection, laboratory measurements, results analysis, reporting) can lead to detrimental economic effects.One of the strategies to deal with this problem is machine learning-based soft sensors—a collection of models that can be used to predict and forecast some infrequently measured properties (such as laboratory measurements of petroleum products) based on more frequent measurements of parameters like temperature, pressure and flow rate provided by physical sensors. HPCL - Mumbai refinery has developed sensor models using AspenTech’s AI Model Builder to predict viscosity of 1st side stream of vacuum distillation unit and has deployed the model online using Aspen OnLine®. This real-time properties prediction helps in optimizing the VDU unit to reduce quality giveaways and improve product yields. Also, with enough model confidence, we can minimize laboratory analysis to reduce plant OPEX and increase refinery margins. This session provides insight into the development, testing and online deployment of this model along with the realized benefits at Mumbai refinery.

Soft Sensors Development for Online Properties Prediction Using Aspen AI Model Builder™

Track: Plan and Schedule [Downstream]

ExxonMobil and AspenTech have recently co-developed a new refinery scheduling model within Aspen Petroleum Scheduler™ (APS).  A significant technical requirement included building a model reconciliation infrastructure to ensure each refinery submodel can accurately predict product yields within a reasonable tolerance. The infrastructure includes “reconciliation events”, containing actual unit feed rates and operating conditions, and special logic units that direct reconciled data to each refinery submodel. The reconciliation enables comparisons between predicted product and actual yields that can be used to identify model bias adjustments. An example of how this infrastructure was used to improve distillate hydrotreater model prediction accuracy will be presented.

Track: Plan and Schedule [Downstream]ExxonMobil and AspenTech have recently co-developed a new refinery scheduling model within Aspen Petroleum Scheduler™ (APS). &nbsp;A significant technical requirement included building a model reconciliation infrastructure to ensure each refinery submodel can accurately predict product yields within a reasonable tolerance. The infrastructure includes “reconciliation events”, containing actual unit feed rates and operating conditions, and special logic units that direct reconciled data to each refinery submodel. The reconciliation enables comparisons between predicted product and actual yields that can be used to identify model bias adjustments. An example of how this infrastructure was used to improve distillate hydrotreater model prediction accuracy will be presented.

An APS Model Co-Development Story: Integration of Reconciliation Infrastructure for Refinery Model Tuning

Track: Asset Performance Management [Downstream] 




YPF, Argentina's leading oil and gas company, revolutionized its operations by harnessing the transformative power of Aspen Mtell prescriptive maintenance. Monitoring 46 critical rotating equipment and three process units across three refineries, Aspen Mtell delivered remarkable results. Early detection capabilities saved at least ten production days, preventing substantial potential lost profits. Aspen Mtell instigated a cultural shift, boosting work efficiency and proactive issue resolution. The solution also is enabling energy consumption and emissions monitoring, highlighting YPF's unwavering commitment to sustainability. See a comprehensive exploration of YPF's challenges, strategies and outcomes, offering valuable insights for companies navigating the complex landscape of predictive and prescriptive maintenance in the oil and gas industry. Beyond the technical aspects, YPF's success story reflects the potential of embracing transformative technologies not just as tools for immediate problem-solving but as catalysts for a strategic evolution across the entire organizational spectrum. With the concept of industrial augmented intelligence, YPF seeks to synergize advanced analytics and technological tools with the intelligence of its people.

Track: Asset Performance Management [Downstream]&nbsp; YPF, Argentina's leading oil and gas company, revolutionized its operations by harnessing the transformative power of Aspen Mtell prescriptive maintenance. Monitoring 46 critical rotating equipment and three process units across three refineries, Aspen Mtell delivered remarkable results. Early detection capabilities saved at least ten production days, preventing substantial potential lost profits. Aspen Mtell instigated a cultural shift, boosting work efficiency and proactive issue resolution. The solution also is enabling energy consumption and emissions monitoring, highlighting YPF's unwavering commitment to sustainability. See a comprehensive exploration of YPF's challenges, strategies and outcomes, offering valuable insights for companies navigating the complex landscape of predictive and prescriptive maintenance in the oil and gas industry. Beyond the technical aspects, YPF's success story reflects the potential of embracing transformative technologies not just as tools for immediate problem-solving but as catalysts for a strategic evolution across the entire organizational spectrum. With the concept of industrial augmented intelligence, YPF seeks to synergize advanced analytics and technological tools with the intelligence of its people.

How Aspen Mtell® Enabled YPF to Achieve a Proactive Maintenance Culture to Increase Plant Availability

Track: Control and Optimize [Upstream]




This session covers innovative Advanced Process Control (APC) DMC solutions that optimize steam generation, steam injection and production at Suncor’s Firebag and MacKay River In-situ SAGD facilities using existing instrumentation and assets to enhance process control performance and energy efficiency. The solution has proven to reduce greenhouse gas emissions by up to 4% on a per barrel basis while reducing the cost of production per barrel. We cover best practices to standardize design, configure and deploy a network of the APC applications for a long-term sustainable result.

Track: Control and Optimize [Upstream] This session covers innovative Advanced Process Control (APC) DMC solutions that optimize steam generation, steam injection and production at Suncor’s Firebag and MacKay River In-situ SAGD facilities using existing instrumentation and assets to enhance process control performance and energy efficiency. The solution has proven to reduce greenhouse gas emissions by up to 4% on a per barrel basis while reducing the cost of production per barrel. We cover best practices to standardize design, configure and deploy a network of the APC applications for a long-term sustainable result.

Reducing GHG Emissions Through Advanced Process Control in SAGD Operations

Track: Performance Engineering for Chemicals




AGC has developed an online dynamic digital twin of the vinyl chloride monomer (VCM) at P.T. Asahimas Chemical plant (ASC), including the ethylene dichloride (EDC) cracking unit and VCM purification process. This presentation will provide an overview of the digital twin, development approaches, the utilization cases and the results in enhanced sophistication of the operation. To realize high reproducibility of the dynamic behavior of the actual plant in real-time, a rigorous reaction model, dynamic simulation model and automatic update function are incorporated, enabling the digital twin to help in stable and effective plant operations. Furthermore, the model can be utilized in offline studies to improve operations and has contributed to energy savings of approximately 6%.

Track: Performance Engineering for Chemicals AGC has developed an online dynamic digital twin of the vinyl chloride monomer (VCM) at P.T. Asahimas Chemical plant (ASC), including the ethylene dichloride (EDC) cracking unit and VCM purification process. This presentation will provide an overview of the digital twin, development approaches, the utilization cases and the results in enhanced sophistication of the operation. To realize high reproducibility of the dynamic behavior of the actual plant in real-time, a rigorous reaction model, dynamic simulation model and automatic update function are incorporated, enabling the digital twin to help in stable and effective plant operations. Furthermore, the model can be utilized in offline studies to improve operations and has contributed to energy savings of approximately 6%.

Development of the Online Dynamic Digital Twin in the Vinyl Chloride Monomer Process

Track: Plan and Schedule [Chemicals]




Hyundai Chemical's (HDC) recently completed Heavy Feed Petrochemical (HPC) project marks a significant advancement in maximizing profitability through integrated complex optimization. With the ability to utilize treated deasphalted oil (T-DAO) alongside traditional feedstocks, HDC achieved true global optimization, balancing feed slate and intermediate operation for maximum profitability. Challenges included intricate integration among HDC's existing facilities, the new steam cracker and the Hyundai Oilbank refinery. Through meticulous planning using multi-site Aspen PIMS-AO™, HDC streamlined operations, improving aromatics plant yield and optimizing feed to the steam cracker. Benefits include improved profitability during challenging chemicals market, enhanced synergy between facilities and accurate production prediction.

Track: Plan and Schedule [Chemicals] Hyundai Chemical's (HDC) recently completed Heavy Feed Petrochemical (HPC) project marks a significant advancement in maximizing profitability through integrated complex optimization. With the ability to utilize treated deasphalted oil (T-DAO) alongside traditional feedstocks, HDC achieved true global optimization, balancing feed slate and intermediate operation for maximum profitability. Challenges included intricate integration among HDC's existing facilities, the new steam cracker and the Hyundai Oilbank refinery. Through meticulous planning using multi-site Aspen PIMS-AO™, HDC streamlined operations, improving aromatics plant yield and optimizing feed to the steam cracker. Benefits include improved profitability during challenging chemicals market, enhanced synergy between facilities and accurate production prediction.

Maximizing Profitability Through Integration and Optimization in the Heavy Feed Petrochemical Project

Track: Control and Optimize [Chemicals]




In 2023, BPCL successfully deployed Advanced Process Control (APC) in its Propylene Derivative Petrochemical Plant, marking the first implementation of APC within a petrochemical plant among the BPCL group of refineries. The APC system encompasses a total of six controllers spread across three units: Oxo Alcohol (PDO), Acrylic Acid Unit (PDA) and Acrylate Unit (PDE). Continuing the legacy of BPCL KR, this implementation also leverages Aspen APC software to optimize the unit operation. The APC implementation was done in-house without any assistance from external consultants. The comprehensive process control approach includes the development of a model with 98 Manipulated Variables (MVs), 178 Controlled Variables (CVs), 33 Feed Forward Variables (FFs) and 47 Intelligent Quotients (IQs or Soft Sensors), specifically designed for tighter product quality control. The process control strategies are developed, with the objective of enhancing the operational efficiency by minimizing energy consumption, better product separation and extended catalyst life. PDPP APC implementation has resulted in benefits of USD 0.94 Million/ Annum.

Track: Control and Optimize [Chemicals] In 2023, BPCL successfully deployed Advanced Process Control (APC) in its Propylene Derivative Petrochemical Plant, marking the first implementation of APC within a petrochemical plant among the BPCL group of refineries. The APC system encompasses a total of six controllers spread across three units: Oxo Alcohol (PDO), Acrylic Acid Unit (PDA) and Acrylate Unit (PDE). Continuing the legacy of BPCL KR, this implementation also leverages Aspen APC software to optimize the unit operation. The APC implementation was done in-house without any assistance from external consultants. The comprehensive process control approach includes the development of a model with 98 Manipulated Variables (MVs), 178 Controlled Variables (CVs), 33 Feed Forward Variables (FFs) and 47 Intelligent Quotients (IQs or Soft Sensors), specifically designed for tighter product quality control. The process control strategies are developed, with the objective of enhancing the operational efficiency by minimizing energy consumption, better product separation and extended catalyst life. PDPP APC implementation has resulted in benefits of USD 0.94 Million/ Annum.

Optimizing Production in New Propylene Derivative Petrochemical Plant (PDPP) with APC Implementation by BPCL In-House Team

Track: Performance Engineering for Project Execution




With the goal of neutralizing carbon emissions and leading the drive to a fair energy transition, cost estimates have become key to support decision-making in all the new projects required to achieve sustainability goals.

In this presentation, Petrobras demonstrates their methodology to support early decision making using Aspen Capital Cost Estimator™ (ACCE) for new projects, including all the different challenges that come with these unconventional projects, such as lack of process information and the need for proprietary technology.

With the increased accuracy achieved from this methodology, Petrobras expects savings from 0.40 to 1.50 euros per litter of produced oil.

Track: Performance Engineering for Project Execution With the goal of neutralizing carbon emissions and leading the drive to a fair energy transition, cost estimates have become key to support decision-making in all the new projects required to achieve sustainability goals.In this presentation, Petrobras demonstrates their methodology to support early decision making using Aspen Capital Cost Estimator™ (ACCE) for new projects, including all the different challenges that come with these unconventional projects, such as lack of process information and the need for proprietary technology.With the increased accuracy achieved from this methodology, Petrobras expects savings from 0.40 to 1.50 euros per litter of produced oil.

Economic Analysis for Business Decisions on Sustainability Projects

Track: Performance Engineering for Energy [Upstream]

One of the many challenges facing LNG plants is to reduce energy consumption and processing cost. The mixed refrigerant (MR) component is an important factor influencing the performances of natural gas liquefaction processes. In this session, Sonatrach shares a case study performed on a liquefaction process using Aspen HYSYS® software, where the main parameters of mixed refrigerant are varied to analyze their influence on the power consumption. This case study was carried out on the function of each component of the mixture and its impact on the decrease of compressor power. The reduction in energy consumption of the MR compressor is in the order of 5% without any prior investment. For this reason, the permanent adjustments brought to the MR composition have greatly improved the performance of the process. This study showcases how Sonatrach fixed the operational challenges that impact energy consumption using Aspen HYSYS by choosing the optimal composition of mixed refrigerant. 

<span data-sheets-root="1" data-sheets-userformat='{"2":2945,"3":{"1":0},"10":1,"11":4,"12":0,"14":{"1":2,"2":16711680}}' data-sheets-value='{"1":2,"2":"Track: Performance Engineering for Energy [Upstream]\n\nThis presentation highlights the benefits of using hydraulic expanders instead of Joule-Thomson valves to optimize an LNG plant. The hydraulic expanders are used in all LNG liquefaction processes including the common propane precooled mixed refrigerant (C3 MR) process. Sonatrach company has four LNG plants, two new mega trains using hydraulic turbines in the liquefaction cycle and two old units which used Joule-Thomson valves in the liquefaction cycle.\nThe Sonatrach team focused their work on replacing the Joule-Thomson valves of these two old units. The first step is to model the existing C3-MR process using the Joule-Thomson valves with Aspen HYSYS® to validate the simulation model. The second step consists of modeling the C3-MR process liquefaction by replacing with hydraulic turbines expander.\nIn simplest terms, hydraulic turbines give colder LNG because they provide additional refrigeration. The extra refrigeration can be effectively used in a C3MR process by increasing production at original LNG temperature, reducing refrigeration power to achieve original production (reducing OPEX) and reducing end flash by producing colder LNG from the main cryogenic heat exchanger (MCHE)."}'>Track: Performance Engineering for Energy [Upstream] One of the many challenges facing LNG plants is to reduce energy consumption and processing cost. The mixed refrigerant (MR) component is an important factor influencing the performances of natural gas liquefaction processes. In this session, Sonatrach shares a case study performed on a liquefaction process using Aspen HYSYS® software, where the main parameters of mixed refrigerant are varied to analyze their influence on the power consumption. This case study was carried out on the function of each component of the mixture and its impact on the decrease of compressor power. The reduction in energy consumption of the MR compressor is in the order of 5% without any prior investment. For this reason, the permanent adjustments brought to the MR composition have greatly improved the performance of the process. This study showcases how Sonatrach fixed the operational challenges that impact energy consumption using Aspen HYSYS by choosing the optimal composition of mixed refrigerant.