Aspen Mtell은 머신 러닝 기술을 활용하여 실제로 문제가 발생하기 전에 성능 저하와 임박한 고장을 나타내는 운전 데이터 내의 정확한 패턴을 인식합니다..

It can be difficult and time consuming to try to predict a process and how it will respond to different disturbances. In this webinar, you will learn how dynamic simulation can help you efficiently and effectively determine how a process will behave over time.

At the 23rd Indian Refining and Petrochemical Meet in Mumbai, BPCL showed how it has implemented the “digital twin” concept and laid out its vision for a digital future.

Advances in technology are driving new levels of value creation — but your people still have to have the right skills in order to get the most out of digital solutions.

India’s refiners have reached a pivotal moment. Find out how industry leaders are planning to take advantage of the opportunities presented by an evolving market.

aspenONE Engineering V10 software is available for cloud deployment, lowering total cost of ownership and enabling engineers to access the latest software anytime, anywhere.

Understand how Aspen Mtell’s Autonomous Agents share failure signatures across similar assets, enabling rapid time to value.

Siirtec Nigi increased their sulfur production from 50 to 90 tons per day using Aspen HYSYS Sulsim to simulate the case study and conduct a sensitivity analysis around their oxygen enrichment. The new process required minimal equipment changes and no additional downtime other than turnaround.

特殊化学品メーカーの主なバリュードライバーにしっかりと整合化された実証済みの業界ベストプラクティスを導入した、製造パフォーマンスを変革するためのロードマップを示しています。また、製品品質を改善し、顧客への対応力を強化し、コスト効率を高める革新的な製造プラクティスを実現するために、どのような技術が活用できるのかについて説明しています。

In this webinar, Sebastien Osta, APC Specialist at TOTAL, explains how TOTAL used AspenTech’s APC solution to control corrosion mechanism in real time using Aspen IQ and advanced process control, increase process equipment run-length, and bring benefits of $2M -$9M USD per year by reducing overhead CDU temperature.