Downstream
Maximize profitability and energy security while advancing sustainability goals with end-to-end digital solutions spanning the entire lifecycle of a refinery
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● Accelerate the transition to new and renewable energy sources and feedstocks
● Optimize Carbon Capture and Utilization to meet sustainability goals
● Advance a hydrogen economy and refinery electrification
● Support a circular economy through co-processing of pyrolysis oils
Sustainability, Decarbonization and Industry Initiatives: Survey Findings and Analysis
This report, which was co-written with Robert Socolow, Professor Emeritus, Princeton University, addresses the findings of a recent survey conducted to better understand the strategies and actions tak...
Report
Carbon Removal at Scale – Direct Air Capture with Dynamic Process Modeling
As global industries continue to make strides in emission reductions, additional measures—like permanent carbon dioxide (CO2) removal—must be taken in parallel to achieve net zero. Innovations like Di...
On Demand Webinar
Accelerating the Hydrogen Economy through Digitalization
Industry leaders are looking for innovative ways to meet their sustainability goals. Hydrogen is a valuable resource that can help companies achieve carbon reduction and reduce energy costs. Download ...
White Paper-
● Reduce margin loss while optimizing energy consumption to meet sustainability targets
● Monitor and reduce CO2 emissions using digital twins
● Minimize frequency of unit shutdowns and corresponding increases in GHG emissions with prescriptive maintenance
● Decrease energy demand by optimizing feed flexibility
Digital Emission and Efficiency Monitoring Through Modeling Improves Sustainability and Margins at BPCL’s Kochi Refinery
Today, refineries face the difficult challenge of maintaining and improving their gross refinery margin while meeting increasingly stringent emissions regulations. Refineries need to work in anticipat...
White Paper
BPCL Mumbai Refinery Enhances Energy Management Using AspenTech Solutions
Energy is often the largest operating expense after raw materials for refining and petrochemicals companies, frequently starting out at over 50 percent of operating costs prior to energy reduction pro...
White Paper
CEPSA Minimizes Hydrogen Losses and Reduces CO2 Emissions by Optimizing Refinery Hydrogen Network with Aspen GDOT™
Compañía Española de Petróleos, S.A.U. (CEPSA) is a multinational energy company with headquarters in Madrid, Spain with a presence in five continents and operates across the entire integrated oil and...
Case Study-
● Optimize plant and asset performance by leveraging predictive maintenance and digital twins
● Maximize safety, throughput and profits by vertically integrating planning, scheduling and advanced process control in a closed loop
● Rapidly onboard and expand workforce skillsets with tailored competency development solutions
Achieve Sustainable, Profitable Results with Unified Production Optimization
Energy and Chemical companies continue to look for new ways to reduce their carbon footprint and remain profitable. Advancements in digital optimization technology are helping industry leaders navigat...
Video
How Heide Refinery Maximizes Middle Distillate Profitability with Dynamic Optimization
As one of Europe’s most complex refineries, Heide Refinery looked to optimize its entire middle distillate system to maximize product quality and reduce giveaway. Given recent market volatility, Heide...
On Demand Webinar
Marathon Petroleum Corporation Upgrades Refineries to Full Refinery Scheduling with Aspen Petroleum Scheduler™
Discover how Marathon Petroleum Corporation (MPC) used Aspen Petroleum Scheduler (APS) to develop a single cradle-to-grave barrel tracking system. Once MPC started using APS, they could provide operat...
Case Study-
● Maximize refinery flexibility in the face of macroeconomic uncertainty using digital twins
● Boost production agility and responsiveness with a single planning and scheduling environment
● Rapidly evaluate product alternatives with advanced economic modeling and risk analysis while debottlenecking and revamping
● Optimize operations and economic gains by integrating refinery and petrochemical plants
Improve Decision Agility with Aspen Mtell® and Aspen Fidelis™
Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...
Video
Global Energy and Chemical Company Uses Control Tower Solution to Manage Its Integrated Business Value Chain
Repsol S.A. is a global energy and petrochemical company based in Madrid, Spain that operates three integrated petrochemical complexes, managed as a single hub. Repsol was looking for an end-to-end su...
Case Study
Hybrid Models in Energy: Leveraging Industrial AI to Overcome Operational Challenges
A breakthrough innovation, Aspen Hybrid Models™ help energy companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V...
On Demand Webinar