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.
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.
Global Supermajor Deploys Aspen PIMS-AO™ Globally
This case study details the methodical approach a global supermajor took to make the move and adopt Aspen PIMS-AO technology. Based on side-by-side testing of different technologies, PIMS-AO led to new insights, increased confidence in results and enhanced conversations with traders. Download this case study today to learn the lessons of a global supermajor from a senior technology advisor.
Data-Driven Maintenance Planning Saves $1.8 Million USD Per Year in Shutdown Costs
For service providers, project execution is critical to customer confidence and overall success. Download this case study to learn how a global provider of knowledge-based maintenance, modifications and asset integrity services saved $1.8 million in shutdown costs using Aspen Mtell.
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.
Refinery Gets Asset Failure Predictions with Nearly a Month of Lead Time
Because traditional diagnostic methods weren’t preventing equipment failures or identifying root causes of historic failures, a U.S. refinery turned to Aspen Mtell prescriptive maintenance to improve internal data science resources. Download this case study to learn how this refinery's pilot program with Aspen Mtell was able to predict failures with nearly one month of lead time, enabling planning for maintenance and rescheduling production.
Fluor Achieves Significant Time Savings in SRU Simulation
Learn how Fluor created a digital twin of their entire sulfur recovery unit, including recycle streams, in a single file using Aspen HYSYS v10 with Sulsim. Read this case study to find out how AspenTech’s solution for SRU optimization allows users to increase production, reduce OPEX and meet emissions regulations by modeling the complexities of the SRU and the full gas plant.
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
Digital Transformation with Predictive Maintenance Drives Cost Savings
Read how this large energy company used Aspen Mtell to get notification of pending failures in a hydrogen compressor more then 35 days in advance—enabling as much as $30M USD in potential savings by planning the shutdown to minimize production losses.
Process Ecology Saves up to $60K/Day by Reducing Emissions and Avoiding Shutdowns at Gas Dehydration Facilities
Learn how Process Ecology, a Calgary-based oil and gas consultancy that assists gas processing plants in the operation of their facilities, used Aspen HYSYS to model and provide operating strategies to minimize air emissions, optimize use of solvents and eliminate permit violations.