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.

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.

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.

Watch this webinar on Aspen InfoPlus.21® (IP.21) from AspenTech, exploring the potential of contextualizing historical data to transform your business.

We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.

Advanced Process Control (APC) and optimization technologies have long been used to support downstream operations for oil & gas, petrochemical and chemical companies. Early adopters also deployed these solutions to their upstream assets with positive results.

For chemical manufacturers, responding with agility to inevitable daily supply and demand disruptions is vital to reach planning and scheduling goals.

Interested in learning how digital solutions support end-to-end gas exploration and production to meet the increased demand for natural gas? Watch AspenTech’s Subsurface Science & Engineering experts discuss how you can optimize operations across your assets’ lifecycle to offset threats of sustainability and energy security.

As companies continue to work towards ambitious emission reduction targets, leveraging digital technology remains key in achieving net-zero emissions.