Drilling
The agreement focuses on improving operational efficiency and consistency through advanced digital tools and real-time data integration.
An innovative approach uses a random-forest-based framework to link logging-while-drilling and multifrequencey seismic data to enable dynamic updates to lithology parameter predictions, enhancing efficiency and robustness of geosteering applications.
Oil and gas companies drilled 75 “high-impact” wells in 2024, representing 5.2 billion BOE.
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A supervised machine-learning algorithm is developed to classify drilling parameters that increase rate of penetration and bit endurance for use in unconventional fields in Australia.
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The failure of the Raptor rig to drill its first-ever well offers a short history of the challenges that came with creating the first automated drilling rig.
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Drilling automation is not “there” yet, but it no longer seems like a pipe dream.
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This paper describes how severe rig limitations were overcome through an optimization plan in which an optimal bottomhole assembly was designed and drilling practices were customized.
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This paper presents a methodology that aims to allows the anticipation of problems such as mechanically stuck pipe or lockup situations when running casing or completion strings in hole.
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Schlumberger and Russia’s Gazprom Neft have agreed to jointly develop software and promote other upstream services to be commercialized across Russia and internationally.
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The fresh investment will result in the manufacture of new drilling-related equipment to assist the national oil company in boosting production capacity.
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Although offshore drilling demand is slowly getting better, headwinds remain.
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Union of rival contract drillers will create one of the largest offshore rig companies.
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The 2021–2022 Drillbotics competition will require the contestants to integrate human factors engineering considerations into their automated drilling rigs for the first time.