Connecting AI-ready, Industrial Data with AWS and Aspen Technology

Industrial organizations require historical and real-time data for AI and analytics on the cloud to keep the business running efficiently.

Blog

Aspen AIoT Hub Recognized with 2021 Artificial Intelligence Award

The Aspen AIoT Hub has earned a 2021 AI Award from the Business Intelligence Group! The award recognizes our powerful Industrial AI solution.

Blog

The Evolution of Performance Engineering

Leading organizations are connecting process engineering simulations to plant data, creating a “digital twin” model that can calibrate autonomously and continuously.

Blog

Two Ways to Reduce CAPEX and Support Safety and Sustainability Imperatives

Achieve new levels of automation with Aspen OptiPlant 3D Layout! Cut optioneering time in half to identify the best designs faster and reach up to 30% savings on capital expenditures.

Blog

The Digital Organization of the Future Requires New Capabilities

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.

White Paper

Modular Design for Lower CAPEX

Achieve savings in both engineering hours and CAPEX with modular design through the use of stanadardized designs in re-useable templates.

White Paper

Multiphase Pipe Flow Modeling in Aspen HYSYS

Multiphase flow through pipes is characterized by the flow regime, liquid hold-up and pressure gradient. Accurate prediction of these flow attributes is necessary for designing and maintaining pipelines and flowlines in the oil and gas industry. Aspen HYSYS provides a number of flow correlations for modeling multiphase pipe flow. To aid the user and provide a basis for comparison, the performance of correlations for different pipeline geometries, fluids, and flow regimes was analyzed. This paper discusses these analyses.

White Paper

Low-Touch Machine Learning is Fulfilling the Promise of Asset Performance Management

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. This white paper describes five best practices for driving state-of-the-art reliability management to predict breakdowns months in advance—increasing production and profitability.

White Paper

White Paper: Seeing Into the Future With Prescriptive Analytics

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.

White Paper

Acid Gas Cleaning using Amine Solvents: Validation with Experimental and Plant Data

Learn about the underlying technology and validation results for the Acid Gas - Chemical Solvents Property Package in Aspen HYSYS used for amine solvents in Gas-Liquid Systems, such as MDEA, MEA, DEA, PZ and PZ+MDEA.

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