As the energy industry continues to be challenged by a volatile global market, there are steps companies can take now to adapt to evolving demands, maximize margins and improve sustainability. Join industry leaders Saras and MOL Group as they detail recent projects where innovations in digital twin technology, predictive analytics and prescriptive maintenance delivered measurable, strategic value for both the short and long term.

With the introduction of centralized performance monitoring in aspenONE APC V11, organizations can improve operating margins across the enterprise by providing greater visibility into APC benefits and performance. New non-linear capabilities in Aspen DMC3™ enable you to extend controller features and functionality to non-linear processes.

View this on-demand webinar and learn how to boost profitability by closing the gap between planning and actual operations with the new release of aspenONE V11. Experts discuss the new enhancements to Aspen PIMS-AO, Aspen Petroleum Scheduler, Aspen Refinery Multi-Blend Optimizer and the new Aspen GDOT. Discover how to streamline your workflow as you set more ambitious planning goals!

再此网络研讨会中，艾斯本专家们讨论了Aspen PIMS-AO，Aspen Petroleum Scheduler，Aspen炼油厂多混合优化器和新的Aspen GDOT的新增强功能。

The latest Asset Performance Management (APM) solutions are enabling pharmaceutical companies to protect their supply chain, increase asset utilization and avoid unplanned downtime by accurately predicting when equipment anomalies will occur, understanding why they do and prescribing what to do to avoid a potential failure.

Aspen Plusのバッチ乾燥機モデルについて紹介します。バッチ乾燥シミュレーションを行うことで、運転操作の最適化が可能になります。

In today’s market, dynamic simulation has become mission critical to the success of projects, especially when tight cost margins are on the line. During this webinar, Craig Mackay from Xodus Group will describe practical applications of dynamic simulation throughout the lifecycle of a recent project, from front end engineering design (FEED) to commissioning.

Aspen Plusのバッチろ過モデルについて紹介します。BatchOpモデルは反応、晶析、濾過のバッチモデルであり、晶析から濾過の一貫としたプロセスの検討を行うことができます。

Aspen Plusのバッチ乾燥機モデルについて紹介します。バッチ乾燥シミュレーションを行うことで、運転操作の最適化が可能になります。

Based on our recent survey, 40% of upstream companies are currently using data analytics to improve operational effectiveness. Hear Ian Lewis and Justin Jacobs from Petroleum Economist present insights from this survey of upstream industry executives during this on-demand webinar. The webinar also includes case study examples of upstream companies reducing production costs using data analytics. Find out how predictive modeling and machine learning are revolutionizing oil and gas asset economics and reducing production costs. Don’t get left behind—watch now!