Case Study

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

Shell Oil Company is a global energy and petrochemicals company that produces natural gas, gasoline, oil, and many bulk and specialty chemical products for customers worldwide. Read this case study to learn how Shell’s Manufacturing Margin Optimization team uses AspenTech solutions and AWS Cloud to optimize its energy and petrochemicals business, including planning and scheduling applications.

Case Study

Case Study: Chevron Employs APC Best Practices to Get Controllers Online Faster After Unit Turnarounds

Discover how Chevron overcame the challenge of rapidly returning APC controllers to service after unit turnarounds. Using aspenONE APC applications, Chevron reduced the effort required to maintain controller models. In addition to this, Chevron saved thousands of dollars for each day the controller would have been offline.

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

UK Refinery Increases Middle Distillate Production with Aspen GDOT™

Download this case study to learn how a refinery in the UK used Aspen GDOT to increase middle distillate production by 10%. The closed loop optimization technology, adjusts multiple process units in real-time to maintain product consistency and improve overall refinery performance. Discover how you can drive more profitable operations with Aspen GDOT.

Case Study

Controle el desempeño de columnas con un Digital Twin de planta usando Aspen HYSYS®

Conozca cómo Tupras utilizó el análisis de columnas en Aspen HYSYS en conjunto con Aspen Exchanger Design & Rating para incrementar en un 40% la capacidad de columna y al mismo tiempo cumplir con las especificaciones de calidad del producto.

Case Study

Data-Driven Maintenance Planning Saves $1.8 Million USD Per Year in Shutdown Costs

A global provider of knowledge-based maintenance, modifications and asset integrity services wanted to take a more data-driven approach to planned maintenance and reduce unplanned downtime to optimize lifecycle costs.

Case Study

Digital Transformation with Predictive Maintenance Drives Cost Savings

When this large energy company launched its digital transformation initiative, it turned to Aspen Mtell® to execute an online predictive maintenance pilot on a hydrogen compressor.

Case Study

Energy Company Drives Innovation in Predictive Maintenance via Digital Transformation Program

When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 large assets in a refinery, the company began testing the technology at a wind farm and had five early successes in predicting gear box failures.

Case Study

Braskem Implements Aspen DMC3 to Deploy Controllers in Just Two Weeks and Immediately Accrues Benefits

Braskem is the largest petrochemical company in Latin America, the leading producer of polypropylene in the United States, and the eighth-largest resin producer worldwide. Braskem used Adaptive Process Control within Aspen DMC3 to deploy controllers in just two weeks to start accruing benefits immediately. The benefits included lowered energy usage by 20%, increased production rates and reduced process variability. Download this case study today to learn more about the benefits Braskem realized by using Aspen DMC3 and discover how to achieve these benefits at your organization.

Case Study

Refinery Optimizes Middle Distillate System in Real Time with Aspen GDOT™

Learn how one of world’s largest multinational energy companies used Aspen GDOT to maximize production of specific diesel and jet fuel products at one of its refineries. By using real-time optimization across multiple APC units, the refinery was able to decrease sulfur giveaway by 70%. Download this case study to learn how you can optimize production and reduce product giveaway.

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