Case Study

How Braskem Idesa Increased Reactor Uptime by Over 20% Using Existing Data and Resources

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

White Paper

Multivariate Analytics: The Secret to Better Batch Processes

Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.

Video

Asset Analytics Root Cause Analytics Demo

Root Cause determines the weaknesses in processes so that the real cause or reason for a failure in a process can be eliminated. RCA looks upward into a process and prioritizes the weaknesses that might contribute to potential failures.

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Executive Brief

Executive Brief: EPC Perspectives - Generating New Revenue Streams from Plant Operations & Maintenance

This executive brief highlights the results of a recent survey conducted with Oil & Gas Journal on how EPC firms are pursuing new sources of revenue from the operations and maintenance phases of a project lifecycle.

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Case Study

European Engineering Company Saves $400,000 USD on CAPEX Using Performance Engineering

Discover how PETROLTERV saved significant CAPEX on a revamp project due to greater design accuracy enabled by the integrated aspenONE Engineering suite of products. Due to efficiencies gained from using this integrated software suite, PETROLTERV no longer needed to outsource a large number of engineering projects, such as air cooler design, pressure safety valve sizing and more. By increasing their ability to complete more projects in-house, PETROLTERV has reduced project costs, as well as delivered those projects on time and on budget.

Jump Start

Acid Gas Cleaning in Aspen HYSYS®

This “getting started” guide covers the process of creating a new case for Acid Gas Cleaning, setting up component lists and fluid packages, and working in the simulation environment to build the model. It is not meant to be a standalone reference document. Knowledge of Aspen HYSYS V10 is assumed for this guide.

White Paper

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

Learn about the underlying technology and validation results for the Acid Gas - Physical Solvents Property Package in Aspen HYSYS used for physical solvents in gas-liquid systems, specifically DEPG.

White Paper

Acid Gas Cleaning Validation: Liquid Hydrocarbons

Learn about the acid gas removal process and underlying technology for the Acid Gas - Liquid Treating Property Package in Aspen HYSYS used for solvents used for treating liquid hydrocarbons. Validation results

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