Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

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.

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).

Adaptive Process Control: sustain peak APC performance, optimize during testing, commission new controllers faster, reduce effort to re-vamp a controller, reduce skillset required, work on multiple projects in parallel, maintain adequate controller behavior. 

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

Discover how to predict upsets early and receive guidance on how to manage the upsets, saving billions by avoiding plant downtime and off-spec. production.

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.

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.

In a market where operational improvements are favored over new construction; pipe flow hydraulic analysis helps achieve incremental improvements that optimize pipeline flow and uptime. Aspen HYSYS Hydraulics for pipeline network modeling allows engineers to analyze flow assurance risks, and integrate this analysis with process models to optimize from the well head through the process facility. Watch this video to learn more.