Case Study

Borealis Achieves Faster Run Times and Better Quality Planning Solutions with Aspen PIMS-AO™

Learn how Borealis, a leading provider of innovative solutions in the fields of polyolefins, base chemicals and fertilizers, implemented Aspen PIMS-AO to support the optimization team and bring about better decision-making for more profitable results. This case study explores how Borealis achieved dramatically faster run time, employed nonlinear modeling, deployed planning models to a centralized, virtual environment, and eased software deployment time and maintenance with more efficient use of hardware.

Video

Cómo LUKOIL evita el tiempo de inactividad con Aspen Mtell®

En este vídeo, descubra cómo el mantenimiento predictivo de Aspen Mtell permite a LUKOIL tomar decisiones más rápido y aumentar la confiabilidad en toda la empresa.

Video

How LUKOIL Avoids Downtime with Aspen Mtell®

In this video, learn how Aspen Mtell predictive maintenance enables LUKOIL to make decisions faster and increase reliability across the enterprise.

Podcast

Podcast Series: Beginning the Journey to the Self-Optimizing Plant

In this podcast, Lee Nichols, Editor-in-Chief of Hydrocarbon Processing and Ron Beck, Marketing Strategy Director at Aspentech discuss HPI's digital transformation journey, the future of the self-optimizing plant and how digital technologies will lead to more efficient operations.

Blog

Nothing Stays the Same for Long

Dynamic simulations have many applications. Learn how to create dynamic models in Aspen HYSYS or Aspen Plus Dynamics.

Blog

Column Analysis: The Inside Story

We all want the inside story. Column hydraulic analysis offers engineers a view into column performance to improve design and operational efficiency.

Blog

Prescriptive Analytics: Maximizing the Lifespan of Power Equipment

Prescriptive analytics based on machine learning and multivariate analysis are enabling power plants to optimize equipment life and extend their outage intervals. Free yourself from the recommended schedules of OEMs and service providers!

Executive Brief

공정 산업의 디지털 트랜스포메이션을 가속화하는 산업용 AI 기술

최근의 구조적 인력 이동과 전례없는 시장 변동성에 비추어 볼 때, 기업들은 산업용 AI 애플리케이션에서 비즈니스 성과를 도출할 수 있는 기능들을 더욱 필요로 합니다. 산업용 AI는 오퍼레이셔널 엑셀런스를 이끄는 원동력으로서, 경쟁 우위를 유지하는 데에 필요한 새로운 비즈니스 모델로의 성공적인 전환을 지원할 것입니다.

Blog

The Next Frontier for Supply Chain Management: Predicting the Future

Find out how the integration of today’s advanced technologies can provide a view into the future, enabling manufacturing plants to intelligently avoid production disruptions.

Blog

You Don’t Need to “Boil the Ocean” of Data for Digital Transformation

Armed with historical data and the AI-powered software to analyze it, organizations can save millions in avoided costs. The key is targeting the program to achieve real business value.

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