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A total of 15 companies, including five small businesses, were recognized this year for their demonstrated advancements in the industry.
More than two dozen artificial intelligence systems are being celebrated for delivering massive value to the national oil company.
Artificial intelligence is increasingly being used to assist in the development of materials, including metal-organic frameworks (MOFs), to advance carbon capture technologies. Researchers assembled more than 120,000 new MOF candidates within 30 minutes.
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SPE President Terry Palisch is joined by Dana Otillio, vice president of SPE’s marketing and communications, to discuss how members can maximize their membership by leveraging multimedia content.
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Early adopters of large language models praise the technology’s promise to advance upstream research and software development while also offering cautionary notes.
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Offshore Technology Conference Asia 2024 officially launched in Kuala Lumpur with more than 20,000 attendees, sponsors, exhibitors, and students registered from over 75 countries.
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This work provides a new modeling tool, validated against a static-wellbore solver and field data, to estimate and manage downhole temperature in higher-temperature oil, gas, and geothermal wells.
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This paper presents an approach using artificial neural networks to predict the discharge pressure of electrical submersible pumps.
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This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.
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The authors of this paper propose an artificial-intelligence-assisted work flow that uses machine-learning techniques to identify sweet spots in carbonate reservoirs.
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The authors integrated azimuths and intensities recorded by fiber optics and compared them with post-flowback production-allocation and interference testing to identify areas of conductive fractures and offset-well communication.
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This paper describes an autonomous drilling approach using an autocurve-drilling mode to automatically drill curved sections without human intervention and complete autonomous well construction.
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The authors of this paper present the results of implementing a rig-automation solution applied to 20 wells in Ecuador in 2022.
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This paper addresses the challenges related to well control and the successful implementation of deep-transient-test operations in an offshore well in Southeast Asia carried out with the help of a dynamic well-control-simulation platform.
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This paper describes how near-real-time tracer data from the onsite tracer analysis enabled the operator of the Nova field to interactively optimize two well cleanups.
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Slickline-Deployed Fiber-Optic Cable Provides First Production Profile for High-Temperature Gas WellThis paper describes a case study in which, in the absence of a conventional production log, distributed fiber-optic sensing, in conjunction with shut-in temperature measurements, provided a viable method to derive inflow zonal distribution.
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Distributed fiber-optic sensing data from distributed temperature sensing and distributed acoustic sensing can be used to monitor annuli liquid levels in production wells, further allowing calculation of leak rates and inference of leak path.