HPCL Visakh Refinery was tasked with expanding the capacity of its from 8.3 MMTPA to 15 MMTPA—and had to do so without increasing the current sulfur oxide (SOx) emissions levels.

Discover how Ameren is accelerating its Grid of the Future strategy by transforming how it manages electrical network data. As manual, time-intensive data transfers between GIS and ADMS became more complex, the utility identified an opportunity to enhance how it maintains accurate, up-to-date models for advanced grid operations.

HPCL’s Mumbai Refinery faced a major issue with product quality giveaways, as assessing product quality was both challenging and time-consuming.

Download this case study to learn how BPCL developed and deployed an online CDU simulation model using Aspen HYSYS®, enabling:

Motiva sought to reduce product giveaway while increasing yields and maintaining consistent product quality across refinery operations.

Phillips 66 needed a better way to reduce monomer losses, optimize equipment performance and strengthen process safety at its polypropylene plant.

Saras needed a better way to predict FCC product yields and quality while managing the complexity of variable feedstocks at its Sarroch refinery. Using Aspen HYSYS®, Aspen AI Model Builder™ and Aspen Simulation Workbook™, the team developed an AI-powered hybrid model to improve operational visibility and decision-making.

Learn how a leading integrated energy company migrated to Aspen Unified PIMS in less than three months, quickly trained 25 users and provided planners with an easier, faster way to share information—all on one Unified server.

HD Hyundai Oilbank, a major South Korean refinery, produces gasoline, diesel, kerosene, jet fuel, LPG and naphtha. Due to changes in feed blending ratios every two days, engineers spent significant time recalibrating process simulation models before each use.

Learn how AspenTech processing and imaging software enabled more accurate reservoir characterization of the KG basin off the coast of India. Sharper subsurface images provided a more detailed description of the reservoir and enhanced data interpretability, while the use of advanced broadband processing enabled the extraction of additional information from legacy data, with no need for further costly acquisition. Better mapping of gas hydrate deposits led to the identification of a site for pilot production drilling.