Data & Analytics
The Tela artificial intelligence assistant is designed to analyze data and adapt upstream workflows in real time.
SPE and The Open Group have signed a memorandum of understanding to advance collaboration and innovation in the global energy industry.
In this third work in a series, the authors conduct transfer-learning validation with a robust real-field data set for hydraulic fracturing design.
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This paper proposes how the strengths of cloud computing can become key enablers for oil and gas organizations in helping them enhance their overall security posture and manage risks within operational-technology environments. -
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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In today’s era of asset management, digital twins are changing risk management, optimizing operations, and benefitting the bottom line.
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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 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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With artificial intelligence and online training both on the rise, it's crucial to ensure workers and companies treat safety as more than a box-checking exercise.
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The technology to desalinate and reuse produced water for cooling AI data centers in the Permian Basin exists, but addressing cost challenges remains critical to widespread adoption.
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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.
