OE21 Feed A
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Digitalization and advanced analytics have enabled drilling automation that is changing the way wells are executed to deliver more production earlier.
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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.
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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.
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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.
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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.
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This study recommends favoring the combustion of ammonia over hydrogen for the purpose of reducing CO₂ and nitrogen emissions.
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This paper describes an experimentation trial deploying and operating a computer-vision system on a deepwater rig to measure drilled cuttings in real time using a remotely monitored camera system.
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The experience captured in this paper illustrates the potential of deepwater riserless wireline subsea intervention capability and the fact that it can be expanded beyond hydraulic-only, simple mechanical, and plugging-and-abandonment scopes.
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This study explores the feasibility of implementing in-situ carbon dioxide recycling for sequestration as a fit-for-purpose developmental strategy for a Malaysian gas field characterized by an initial carbon-dioxide content of approximately 60%.
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Emissions management remains an active and crucial research area in the oil and gas industry. It is a broad research category spanning several different directions. The papers of the past year demonstrate the rich diversity of ideas and analytical techniques used for tackling different research questions in this space.