Learn how Aspen Mtell connects big data and prescriptive maintenance to deliver IIoT solutions.

Distribute feedstock and products to the right location at the best price. Discover how to optimize profit in your hydrocarbon distribution network with the ability to intuitively visualize results and manage exchange agreements and multiple modes of transportation.

Globally coordinate and complete FEED deliverables sooner with more confidence in when using Aspen Basic Engineering. ABE V10 delivers improvements in access, adaption and execution.

With a better understanding of the acid gas removal unit, engineers can minimize amine solvent costs while meeting specifications. Within Aspen HYSYS, the Acid Gas functionality includes rate-based simulations with 3 specialized property packages for simulating a wide range of systems and amines. Watch this video to learn more.

A refinery's profit depends on how effective it is in leveraging the right crude blends from the many crude oil choices available in the market. AspenTech offers rigorous analysis of processes and all major equipment across the refinery ranging from crude distillation units, reactors, heat exchangers to gas plants and sulfur recovery units. Watch now to learn more. 

This video is from the AspenTech Workshop at the ARC Industry Forum 2021 - Zeroing In On Process Health: How to Increase Availability by 20+% In 3 Months with APM.

This video is from the ARC Industry Forum 2020: Predictive Maintenance Fact and Fiction - Learnings from Real Implementations Workshop presented by Chris Williams, Director, Customer Success, Aspen Technology, Inc.

The findings of Dynamic Studies are valuable for ensuring process safety, operability, and controllability. Gain Dynamic insights with Intuitive Setup with the trusted accuracy of Aspen HYSYS Dynamics and accelerated dynamic model development with existing steady state models. Watch this video to learn more.

Aspen Collaborative Demand Manager for Refining empowers companies to combine historical data and market intelligence to generate and manage accurate forecasts.

Lucas Reis demos 3 scenarios where the Constrained Model ID feature can be used: zero gain constraints (set gains equal to zero), mass balances (ensure they make physical sense) and gain ratios (set gain ratios equal to one, or gains equal to each other).