The future of the upstream industry lies in the adoption of innovative geoscience digitalization solutions to optimize operations. Machine learning applications for geoscience data have been in use for more than 25 years but have recently become critical due to massive growth in the amount of petrotechnical data being acquired. As machine learning evolves, it will play an increasingly visible role in analyzing surface and subsurface data.

With mounting pressure to reduce carbon emissions—and still meet critical production targets—today’s energy and chemical companies are challenged to stay on top of changing operating conditions and respond in a timely, efficient and coordinated manner.

In today's complex and ever-changing technological landscape, integration between Information Technology (IT) and Operational Technology (OT) is not just a buzzword; it's a necessity.

Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? Learn how Aspen Mtell and Aspen Fidelis enable you to quickly evaluate hundreds of possible future scenarios, and understand the financial consequences and risk involved in different operational decisions.

With more focus on sustainability, frequent changes in global gas markets and evolving processing technologies, gas plants are always looking to improve operations by accurately simulating and predicting increasingly complex processes.

Green hydrogen plays an increasingly important role in meeting decarbonization and energy transition targets. As electrolyzer technology rapidly advances as part of a green hydrogen solution, it’s vital that engineers capture these process enhancements to meet design targets and optimize performance.

The upstream oil and gas exploration and production industry is looking for ways to reduce costs while minimizing emissions, water use and other environmental impacts. Near-field exploration and development enables producers to leverage already depreciated costs in operating infrastructure and extend the life of a declining field by accessing new or previously bypassed reservoirs.

The successful execution of engineering projects requires intense collaboration among multi-discipline teams, but manual data handoffs often lead to errors, inconsistencies and delays that can derail a project.

Global energy companies trust the AspenTech® Subsurface Science & Engineering portfolio to solve their most complex exploration and production challenges while reducing geological risks and minimizing impact on the environment. Get a quick look at our products, with QR codes linking to more details. Download now.

Aspen Epos is the data platform that underpins AspenTech® Subsurface Science & Engineering (SSE) solutions. From a single project to a network of shared data, the open, innovative Aspen Epos data management infrastructure empowers multi-disciplinary teams to collaborate on projects and interact in a common visualization environment.