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This paper describes an automated workflow that helps mitigate sanding caused by excessive drawdown by determining the minimum tubinghead pressure.

This paper presents a case study highlighting the demonstration, refinement, and implementation of a machine-learning algorithm to optimize multiple electrical-submersible-pump wells in the Permian Basin.

This paper presents a closed-loop iterative well-by-well gas lift optimization workflow deployed to more than 1,300 operator wells in the Permian Basin.

This paper explores the use of machine learning in predicting pump statuses, offering probabilistic assessments for each dynacard, automating real-time analysis, and facilitating early detection of pump damage.

This paper focuses on developing a model that can be used in an automated, end-to-end flare-smoke detection, alert, and distribution-control solution that leverages existing flare closed-circuit television cameras at manufacturing facilities.

This paper discusses cases from the North Sea and offshore California in which high-fidelity pressure and dynamics measurements, combined with high-speed telemetry, helped overcome complex geotechnical challenges.

The dynamic realm of offshore drilling and completion continually sees the development of innovative technologies aimed at enhancing safety, efficiency, and cost-effectiveness. This edition highlights three papers showcasing transformative potential within the industry.

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

This study recommends favoring the combustion of ammonia over hydrogen for the purpose of reducing CO₂ and nitrogen emissions.