Drilling
This study explores the use of autoencoder models with convolutional neural networks to present a framework and prototype for early and accurate kick detection during offshore oilwell drilling.
Operators aren’t rushing to drill, even as the closure of the Strait of Hormuz drives oil prices up.
Drilling experts recently shared candid views on what will be required for their segment of the upstream business to move to the next stage of development.
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The new schedule plans for sales in the US Gulf and Alaska through 2039. -
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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The service giant shares how its new technology can sense rock properties 50 ft ahead of the bit in horizontal wells.
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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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This paper proposes a time-series analysis approach to build a reliable, easy-to-use tool to automatically detect stuck pipe accurately and early.
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This study aims to thoroughly assess the influence of various completions, fracturing stimulation, and intrinsic reservoir properties affecting the productivity of 10 major unconventional plays while uncovering insights and trends unique to each play.
