Press Release

Packaging Business, SCG Selects AspenTech Software to Achieve Operational Excellence via Advanced Machine Learning

Packaging Business SCG Selects AspenTech Software to Achieve Operational Excellence

Blog

Over 160 Customer Success Stories Presented at 2010 aspenONE Global Conference

500+ Customers from 43 Countries Share Best Practices For Optimizing Engineering, Manufacturing & Supply Chain Operations to Capture Opportunity in Changing Global Economy

Press Release

Offer-related documents for AspenTech/KBC announcement

Offer-related documents for AspenTech/KBC announcement

Blog

New Release of aspenONE® Software Enables Process Engineers to Display Real-Time Data on Simulation Flowsheets for the First Time

Enhanced Search Functionality Makes it Easier for Aspen Plus® and Aspen HYSYS® Software Users to Optimize and Troubleshoot their Manufacturing Assets

Blog

New Assay Management Functionality in Aspen PIMS™ Software Optimizes Crude Purchasing Decisions and Increases Profitability

Enhancements to World’s Leading Refinery Planning Application Streamline Workflow for Feedstock Selection

Blog

Schlumberger Acquires the Rights to Key Production Optimization Technology from Aspen Technology

Schlumberger and AspenTech Combine Upstream and Downstream Strength to Provide Integrated Digital Oilfield Solutions

Blog

SBM Offshore Expands Commitment to AspenTech’s Oil & Gas Simulation and Optimization Applications

Leading global supplier to the offshore oil & gas industry extends use of Aspen HYSYS® applications to design and optimize production facilities

Blog

Samsung Total Petrochemicals Receives 2011 PM100 Award for Operational Excellence Mastery Using AspenTech Software

Korean Petrochemical Company Improves Inventory Visibility, Decision Making and Profitability Using aspenONE® Planning & Scheduling Software

Blog

Samsung Total Expects More Than $5M in Annual Savings from Deployment of aspenONE® Planning & Scheduling Software

Korean Petrochemical Company Achieves Better Inventory Visibility and Improves Decision Making at Olefins and Aromatics Plants

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