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This paper describes a full-field and near-wellbore poromechanics coupling scheme used to model productivity-index degradation against time.

A 44-well development tests what ConocoPhillips has learned about maximizing the value of the wells by figuring out how they drain the reservoir.

This paper aims to demonstrate how virtual reality, a technology that gives the user an immersive 3D experience, is being used as part of major-accident-hazard awareness training and how this has been sustained to provide an innovative, powerful method of ongoing workforce engagement.

The act aims to create safeguards around general purpose artificial intelligence, limit the use of biometric identification systems by law enforcement, and ban social scoring the untargeted scraping of facial images from CCTV footage to create facial recognition databases.

This year’s history matching and forecasting selections cover a deep-learning framework to forecast spatial/temporal dynamics of CO2 mineralization in reactive rocks, productivity decline analysis using coupled full-field and near-wellbore poromechanics modeling, and a reservoir graph network model for multiwell forecasting in unconventional reservoirs.

The availability of robust, measurement-informed emissions information across global supply chains is critical to the success of any target-based methane policy. Yet very few countries can provide robust data on emissions intensity across natural gas value chains.

Updates about global exploration and production activities and developments.

The use of oil-based muds has precluded countless drill cuttings from being used to predict reservoir fluids despite once being part of the reservoir. A 6-decade-old technology may be on the cusp of changing that.

The developer of the recently emerged anchorbit technology is preparing to drill its first geothermal well next year in Germany.