Testing page for app
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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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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.
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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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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.
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This section lists with regret SPE members who recently passed away.
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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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The accelerating deployment of machine learning and automation is changing the artificial lift landscape. By embedding intelligence into the control loop, operators now can move from reactive decision-making to proactive, continuous optimization.
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This paper describes an alternative lower-completion concept for developing Lower Wilcox reservoirs referred to as high-angle multifractured well design.
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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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This paper presents a study conducted on past through-tubing sand-screen installations to understand performance and develop a workflow to improve future installations.