The Manufacturing & Supply Chain suite can help improve performance and reduce emissions with advanced process control, planning and scheduling, manufacturing execution systems and value chain optimization.

Designed to excel in complex applications for maintenance, reliability, process and operational personnel, delivering on operational excellence and sustainability goals by optimizing asset availability, ensuring product quality and quantifying risk/reward of plant and enterprise decisions.

AspenTech SSE products provide leading-edge technology for extracting maximum value from your E&P data and assets. Product suites include Formation Evaluation, Seismic Interpretation and Reservoir Modeling.

The AspenTech Performance Engineering process simulation suite helps you optimize asset design and processes to reduce CAPEX and OPEX, improve safety, reduce emissions, and maximize overall profitability.

A global leader in industrial data management from the shopfloor to the boardroom. Our mission is to accelerate data-driven value creation in the asset-intensive industries through robust data software offerings.

Aspen Geolog has long been considered the industry standard for advanced petrophysical analysis and formation evaluation.

Microsoft and AspenTech partner in advancing how energy companies optimize and interact with data.

AspenTech Subsurface Science & Engineering (SSE) is a major contributor of code and expertise to the Open Group OSDU Forum, providing secure and reliable global access to energy industry data on the cloud. Collaboration between AspenTech SSE reduces uncertainty, improves confidence, minimizes risk and supports responsible asset management. It helps break down silos, implement multi-disciplinary subsurface workflows and dramatically accelerate operations turnaround time.

Infineum, a world leader in the formulation, manufacturing and marketing of petroleum additives, embarked on a global manufacturing excellence program with the objectives of increasing capacity through improved manufacturing efficiency index (MEI) performance, improving data quality through standard processes for data collection and management and improving the efficiency of tools available for performance analysis.

Before heading back to campus for the fall semester, we connected with some of our summer interns to discuss their experiences as members of the AspenTech team.