In today’s ever-evolving global economy, energy and chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 Adaptive Control now embeds powerful AI machine learning algorithms to build seed models by simply mining historical data. In addition, operators and engineers are now able to find answers 24x7 to common questions and get actionable guidance from Aspen Virtual Advisor's augmented intelligence. View this video and learn how you can coordinate multiple APCs in closed-loop and optimize broad envelopes in real-time to align planning, scheduling and operation, significantly reducing margin leakage and energy costs.

This solution provides real-time, bi-directional connections, data visualization and increased efficiency for BASF's processes and customer value.

Aspen Connect moves industrial data in real time.

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.

Enhance real-time collaboration between internal and external stakeholders.

We welcome OSI and Geological Simulation Software businesses to AspenTech.

Pharma Manufacturing Enabling global access to medicines requires digital transformation

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.

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.

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™.