Case Study
Energy Company Saves $6M USD with a Performance Engineering Digital Twin
Find out how a major Energy Company in South America uses Aspen Exchanger Design & Rating™ and Aspen HYSYS® to model to simulate the reboiler circuit and regenerating column. The Digital Twin model revealed hydraulic instability in the thermosiphon system and allowed the customer to save $6M USD per year, prevent damage to the column and related equipment and much more.
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.
Blog
Making Secure Technology Choices in the Energy Industry
To remain competitive, energy companies increasingly look to artificial intelligence and machine learning to boost their advantage. But AI is everywhere now and everybody knows about its potential... so how do you create a real competitive advantage?
White Paper
サプライチェーンとオペレーション実行の連携:化学企業が利益拡大を図るための定石
最近のGartnerの調査によると、製造業の回答者の85%が、スマート製造戦略に関連する最大の課題は他のサプライチェーン機能との統合であると報告しています。 本ホワイトペーパーでは、業界のリーダーがバリューチェーン全体を調整し、顧客中心、収益性、需要と供給の変化への対応を強化した事例をご紹介しております。
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
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.
Page 175 of 357