Management
This article is the third in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Zikri Bayraktar, a senior machine learning engineer with SLB’s Software Technology and Innovation Center, discusses the expanding use of artificial intelligence in the upstream sector.
Successful in other applications, self-healing coatings could be the oil industry’s ticket to fighting corrosion and extending the life of steel.
This article presents a results-driven case study from an ongoing collaboration between a midstream oil and gas company and Neuralix Inc.
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This paper describes the operator’s digital-twin end-to-end production system deployed for model-based surveillance and optimization. -
This paper highlights nontraditional methods to cure oil-based-mud losses in horizontal wells drilled in unconventional plays.
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The authors of this paper write that the use of high-angle wells through anisotropic shale formations represents a promising approach to improving oil recovery while reducing the overall number of wells required.
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This paper presents a continuous passive magnetic ranging technique that can provide real-time distance and direction to the offset well while drilling without interrupting drilling operations.
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This paper highlights the continuous improvement of multilateral technology used in the Middle East by demonstrating how the application of a multilateral well strategy is a proven and reliable method to reduce time-intensive operations.
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This paper presents an immersive platform that enables multidisciplinary teams and management to make decisions, connecting professionals to demonstrate and share findings in a way that capitalizes on artificial intelligence and cognitive capabilities.
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The paper showcases the digital journey of a brownfield where digital solutions are enhancing recoverable volume, production, and process efficiency while minimizing losses and maximizing the return of investment.
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The rapid development of oil and gas intelligent operations depends on artificial intelligence, automation, and data analytics to achieve optimal conditions in oil and gas operations.
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Effective exploitation of deepwater assets, which often present extraordinary challenges, requires continuous flexibility, reflected in the approaches developed in these papers.
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The CEO and North America research director for Rystad Energy shares insights from a 3-year Knowledge Partnership between the global consultancy and OTC.
