After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to standardize processes and technology across the organization. The key to driving this strategy — and meeting its objectives — is an integrated aspenONE® Supply Chain Management solution that helps Shell optimize refinery production, reduce costs and increase margin.

In a volatile, changing world, companies must rethink how they will compete and stay ahead. Advancements in AI and process simulation combined with deep domain expertise empower companies to do things faster, easier and smarter than ever before. View this video to learn how Aspen Hybrid Models™ integrate first principles-based process simulation models, AI and domain expertise to deliver comprehensive, accurate models more quickly without requiring significant expertise.

How do we meet the expectations of a growing population, but also address sustainability? This short video featuring Antonio Pietri, CEO Aspen Technology, discusses this dual challenge and the new levels of operational excellence in the capital intensive industries.

The prevailing sentiment is that COVID-19 shock will be transitory and that the economy, energy demand and prices will adjust. So far, the crisis has left us with more questions than answers.

Ready to move beyond outdated traditional maintenance practices? Harness the power of prescriptive analytics for the earliest warnings of failure.

Aspen Technology Software to help Improve Operations and Supply Chain Alignment for Shell Catalysts & Technologies

Data analysis can get bogged down in identifying, selecting, and preparing data. These tasks consume 50% or more of the time spent doing analysis. Now, with Maestro for Aspen Mtell®, you can automate much of that data preparation. Through automated workflows, time and effort is minimized while reducing the skills and experience required by the end users. Maestro also tackles the selection of the hyperparameters that control the machine learning algorithm and automates feature selection to further reduce the need for data science skills. Watch this video to learn how this powerful AI technology can help you build better Agents in a fraction of the time.

Aspen Mtell uses predictive maintenance technology to deliver the earliest, most accurate warning of equipment failures—enabling companies to increase safety, improve asset performance, and reduce emissions.

This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.

Because most of us are newbies to IIoT projects, it’s important to have the right information to make the best decisions. Here’s what you should focus on.