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This paper provides an alternative solution to identifying, classifying, and vertically distributing fractures and a lateral distribution method for reservoir modeling.

The paper demonstrates the ability of deep-learning generative models to enable new shale-characterization methods.

This section recognizes SPE members accomplishments and positions within the oil and gas industry.

This paper describes a method to determine rig state from camera footage using machine-learning-based vision-analytics approaches.

The authors describe a study in which leakage-rate modeling was performed to identify and evaluate the associated risks for designing a remedial action plan to safeguard a CO2 storage site.

This section lists with regret SPE members who recently passed away.

This paper introduces methods to fully couple reservoir simulation with wellbore flow models in fractured injection wells.

Against a backdrop of global uncertainty and challenging economics, well integrity subject-matter experts have continued to prioritize human and environmental safety in production while pivoting their skills toward areas of growing importance such as carbon capture and sequestration. New technologies and simulation methods have allowed the authors of the three SPE pap…

The supermajor and service company that have long been partners on oil and gas projects said they are exploring new models to fit the energy transition. They also separately announced this week new plans to expand into the hydrogen market.

View 2021 ATCE on-demand content, connections, and companies for 90 days. AIME celebrates the organization’s 150 years.