Daicel Accelerates Innovation and Reduces the Number of Experiments with Aspen Polymers™
In order to grow its business in a highly competitive market, Daicel, a chemicals manufacturer headquartered in Osaka, needed to develop polymers with narrow molecular weight distributions to meet a specific market demand. Read how Daicel used Aspen Polymers to develop a custom RAFT polymerization model. This model enabled our customer to optimize process conditions and reduce experimental costs, which provided the following benefits:
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.
Petrofac Improves Process Design Accuracy by Debottlenecking Gas Processes Increasing Capacity by 20%
Download this case study to learn how Petrofac used Aspen HYSYS with Activated EDR models to optimize heat exchanger selection and configuration for a gas production client. This solution achieved the client's goal by increasing gas field production 20%, and as a bonus, reduced CAPEX 25%.
European Engineering Company Saves $400,000 USD on CAPEX Using Performance Engineering
Discover how PETROLTERV saved significant CAPEX on a revamp project due to greater design accuracy enabled by the integrated aspenONE Engineering suite of products. Due to efficiencies gained from using this integrated software suite, PETROLTERV no longer needed to outsource a large number of engineering projects, such as air cooler design, pressure safety valve sizing and more. By increasing their ability to complete more projects in-house, PETROLTERV has reduced project costs, as well as delivered those projects on time and on budget.
Production Optimization of Natural Gas Pipelines & Field Production Facilities Using Performance Engineering
Learn how YPFB Andina was able to increase their gas production using an integrated model solution that was able to provide a $280M increase in revenue in 1 year.
Aspen Mtell® Machine Learning Finds Cause of Compressor Failures at LNG Facility
Read how this LNG facility used Aspen Mtell prescriptive maintenance to provide up to 61 days advance notice of catastrophic compressor failures, preventing an economic loss of more than $40M USD per occurrence. Quick to implement and readily scalable, the solution provided key insights into the root cause of the failures.