Drilling
Developing the theory of mechanical specific energy from the perspective of instantaneous drilling power rather than the compressive strength of the formation leads to an improved understanding of drill-bit mechanical efficiency.
The oilfield service company will supply power plants capable of electrifying 180,000 US homes with geothermal energy.
This paper presents an efficient mathematical optimization method for well placement that maximizes contact with the productive zones for the best locations in the reservoir.
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This article is the fourth in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, David Reid, the CTO and CMO for NOV, discusses the evolution and current state of automated drilling systems. -
The operator estimates discovering more than 96 million BOE of recoverable volumes with its latest Norwegian North Sea exploration activity.
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SponsoredKongsberg Digital’s mobile companion to the SiteCom platform is designed to keep wellsite insight close at hand, wherever the job takes you.
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The new schedule plans for sales in the US Gulf and Alaska through 2039.
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Researchers with the National Energy Technology Laboratory showed that naturally occurring signals in underground fluids can serve as effective indicators of flow patterns between existing wellbores. Understanding these patterns can lead to increased efficiency and safety.
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The number of high-impact wells drilled across the globe this year are expected to be on trend with the most recent 5-year average.
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This study explores enhancing gas production through a novel combination of prestimulation using a coiled tubing unit and high-rate matrix acidizing.
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Bad vibes are being addressed by contractors as operators push to go faster, deeper, and longer with unconventional wells.
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Traditionally, the drilling industry has relied on high-fidelity thermal simulators to predict downhole temperature for different operational scenarios. Though accurate, these models are too slow for real-time applications. To overcome this limitation, a deep-learning solution is proposed that enables fast, accurate prediction of downhole temperatures under a wide ran…
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This paper describes the development of a method of predicting drillstring-friction coefficient during tripping operations that can be used for early warning of stuck pipe.
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