Drilling
ExxonMobil's Jason Gahr uses the five stages of grief to explain how the upstream industry should respond to the rise of AI.
A multidimensional Wiener process approach predicts casing remaining useful life, enabling safe, cost-effective well life extension and repurposing for carbon dioxide injection, CCS, and geothermal applications.
Equinor cites confined gas behind casing and calibration issues in investigation of Troll field well control incident.
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The operator will utilize drillship Deepwater Invictus for both development and exploration drilling under a 3-year pact.
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his paper presents research and application of a sustainable, low-density geopolymer alternative to Portland cement for cementing applications in low-temperature wells.
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A new partnership aims to leverage technology developed for geothermal wells to create a new drilling system for complex offshore wells.
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The acquisition marks a significant step forward in H&P’s international expansion strategy.
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In addition to securing the rig, Equinor has, on behalf of the partners, awarded SLB, Baker Hughes, and Halliburton agreements for drilling and well services for the Raia project worth around $109 million.
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The RoboWell technology for well control will be available globally through Halliburton’s Landmark iEnergy hybrid cloud.
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The authors investigate the utility of applying unconventional technology to low- or variably producing carbonate reservoirs to increase estimated ultimate recovery and decrease development-scale variability.
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As Azerbaijan prepares to host COP29, JPT looks back at how the country prospered for millennia on its largess of oil and gas and its unique geography along the ancient Silk Road that today is traversed by pipelines delivering gas and oil to Europe from the depths of the Caspian Sea.
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The chief operating officer of Chesapeake Energy tells the Unconventional Resources Technology Conference that small wins can pave the path to big achievements.
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A universal, automated approach to condition-based maintenance of drilling rig mud pumps is developed using acoustic emission sensors and deep learning models for early detection of pump failures to help mitigate and reduce costs and nonproductive time generally associated with catastrophic pump failures.