Case Study

Eni Develops New APC Application and Achieves Significant Benefits - All Within 6 Weeks

Find out how global energy company Eni uses AspenTech’s innovative Adaptive Process Control to pilot new applications, optimize performance, and reduce maintenance time and effort.

Case Study

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 operations with better targets on unit rates and reduce the number of operational changes that were made by 70%. This allowed the process units to spend more time on a stable operation.

Case Study

Ahorre costos con mantenimiento predictivo durante la transformación digital

Lea cómo Aspen Mtell predijo una falla en el compresor con 35 días de anticipación, permitiendo que la empresa de energía evitara una parada de emergencia y cumpliera con las metas de producción. Minimizó las pérdidas de producción planificando la parada de la planta: ahorro potencial de 30 millones de dólares

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Case Study

Saudi Aramco Increases Refinery Capacity by 100,000 Barrels/Day Using Plant Digital Twin

Learn how Saudi Aramco used Aspen HYSYS to analyze feasibility of refinery reconfiguration plans by developing plant digital twins of multiple units. The new reconfiguration plan projects a 100,000 barrels/day increase in the refinery’s processing capacity, a substantial reduction in fuel oil production together with a significant boost in diesel production capacity.

Case Study

Shell Adopts Global Supply Chain Process to Increase Profitability and Drive an “Enterprise First” Strategy

After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to standardize processes and technology across the organization. The key to driving this strategy — and meeting its objectives — is an integrated aspenONE® Supply Chain Management solution that helps Shell optimize refinery production, reduce costs and increase margin.

Case Study

Next Generation of APC Delivers Benefits for Ethylene Manufacturer

Learn how Qenos, an Austrailian ethylene manufacturer, used Aspen DMC3 to revamp a demethaniser controller with very limited resources and achieved a 5-10% increase in cold end throughput, a 40% reduction in variability in overhead methane, and a 20% reduction in tower dP.

Case Study

Control Column Performance Using Aspen HYSYS®

Learn how Tupras used the column analysis capability in Aspen HYSYS and its integration with Aspen Exchanger Design & Rating to significantly increase the column capacity and meet the required product specifications.

Case Study

Multivariate Statistical Analysis Finds the Bad Actors in Light Component Losses

This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.

Case Study

Global Energy Company Improves Safety and Asset Integrity with Machine Learning

In this case study learn how a global oil and gas company was able to detect and predict a variety of pending equipment failures. Download today to uncover how Aspen Mtell enabled the company to correctly identify all reported events – as well as unknown problems.

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