Drilling
This guest editorial addresses the need for high-temperature directional drilling technologies as the number of rigs used to develop next-generation geothermal wells is set to rise in the coming years.
This study aims to systematically assess casing integrity and corrosion risks associated with CO2 injection in oil-recovery operations.
Output is rising fast in the South American shale play and putting Argentina on a course to soon reach 1 million B/D.
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This study illustrates the new capabilities, tailored for carbon-dioxide storage applications, of a modeling framework that provides a quantitative, risk-based assessment of the long-term integrity of legacy plugged and abandoned wells. -
Two critical facets of the discipline of well control and wellbore integrity—decarbonization and groundbreaking automation of essential processes—are highlighted in the three primary paper selections presented at SPE and SPE-affiliated conferences during the past year.
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The Federal Reserve Bank of Dallas’ fourth-quarter energy survey shows that oil prices and geopolitical uncertainty are curbing enthusiasm heading into the new year.
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A field test study examines micro turbine drilling in a clay formation that allows steel casing and formation to be drilled in a single operation.
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The discovery in the Kutei Basin offshore Indonesia is being considered for fast-track development.
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The Gorgon Phase 3 project aims to counter declining reservoir pressure to sustain gas supplies to Western Australia’s domestic market and support LNG exports to Asia.
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The capability of modern wellbore surveying to increase asset value through improved subsurface modeling and completion-equipment placement is being overlooked by managers of operating companies.
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This paper presents a study of trapped-torque incidents during drillpipe connection, highlighting contributing factors and root causes and proposing prevention and mitigation measures for these transient events.
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In this study, a method was developed to analyze the effects of drilling through transitions on bit-cutting structures and construct an ideal drilling strategy using a detailed drilling model.
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This paper describes a machine-learning approach to accurately flag abnormal pressure losses and identify their root causes.
