Case Study

How ORYX GTL Improves Process and Production with Aspen InfoPlus.21®

Read this case study to learn how ORYX GTL deployed Aspen InfoPlus.21 (IP.21) and AspenONE Process Explorer™ (A1PE)—as the underpinning of their digitalization journey.


Software Solutions to Increase the Resiliency of the Pharma Supply Chain Network

Enhance real-time collaboration between internal and external stakeholders.


The New AspenTech

We welcome OSI and Geological Simulation Software businesses to AspenTech.

News Article

Enabling global access to medicines requires digital transformation

Pharma Manufacturing Enabling global access to medicines requires digital transformation

Case Study

Efficient Data Integration, Visualization and Mapping in a Mature Basin Lead to Interpretation of New Prospects

In a mature onshore North American basin with a wealth of information, an operator needed to streamline data integration and interpretation in order to enable efficient prospecting. Read how Aspen SKUA™ software was used to develop multiple custom-made macros to automate repetitive and time-consuming tasks, and to create a new mapping workflow that enabled the customer to efficiently create prospecting maps to assist in the strategic acquisition of oil and gas leases.

On-Demand Webinar

Webinar with Chemical Processing: How ORYX Increases Yield, Reduces CO2 Emissions by 2% with Advanced Process Analytics

As a leading synthetic fuel plant based in Qatar, ORYX GTL’s mission is to “add value to Qatar’s natural resources by applying innovative technology.” Reducing CO2 emissions and flaring at the world’s first-ever, commercial-scale Gas-to-Liquid (GTL) plant is key to supporting this mission. More specifically, the company is using advanced process analytics to achieve its ambitious operational goals.

Case Study

Petrochemical Company Reduces Energy Consumption at its Pyrolysis Furnaces

A global petrochemical producer wanted to improve monitoring and efficiency, specifically starting with energy consumption, of its pyrolysis furnaces by integrating a predictive vision. With the current process, it was challenging to maintain unit efficiency and stay at a consistent operating level. The company was able to solve these challenges by implementing Aspen ProMV™.

Aspen Technology Announces Financial Results for the Second Quarter of Fiscal 2023

Aspen Technology Announces Financial Results for the Second Quarter of Fiscal 2023


AspenTech Enables Mtell with Custom Agents to Integrate External Models and Simplify Alert Management

As part of the V14 software release, Mtell is equipped with the capability to integrate external models.


AspenTech and AWS Win “IoT Partner Ecosystem of the Year” in 7th Annual IoT Breakthrough Awards

Prestigious Annual IoT Breakthrough Awards Program Recognizes Standout Internet-of-Things Companies and Products

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