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

How Braskem Idesa Increased Reactor Uptime by Over 20% Using Existing Data and Resources

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

Case Study

Como a Braskem Idesa Aumentou o Tempo Operativo do Reator em mais de 20% Usando Datos e Recursos Existentes

Neste estudo de caso, saiba como a Braskem Idesa usou o Aspen ProMV™ para identificar e corregir em forma proativa condições que históricamente levaram ao entumpimento dos reatores altos.

Case Study

Cómo Braskem Idesa incrementó su tiempo útil en más de 20% utilizando datos y recursos existentes

En este caso de estudio, conozca cómo Braskem Idesa utilizó Aspen ProMV ™ para identificar y corregir de manera proactiva y de acuerdo a las condiciones históricas que llevaron a una mayor velocidad de ensuciamiento.

Case Study

Leading Refiner Reduces Planning Run Times from Hours to Minutes and Finds Profitable Solutions

Learn how this world leader in refining reduced planning runtime from 30 hours to 90 minutes, making the process 95% faster and allowing them to respond to market changes much faster.

Case Study

Global Refinery Deploys Cost Estimation Solution to Accelerate Decision Making and Lower Costs

Phillips66 improves estimating productivity by 85% and reduces estimating variability to +/-15% with a five year before and after analysis of estimates vs. completed projects. Download the case study to learn more.

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

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

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® 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.

Case Study

Reliance Industries Ltd Troubleshoots with Aspen Plus and Saves $2.4M USD per Year

Reliance, an Indian conglomerate, built an Aspen Plus model in-house for a distillation column revamp with Aspen Plus which resulted in increased production by $2.4M/year. Learn how they saved money by building the simulations themselves and coming up with a cost-effective solution.

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