Drilling
This paper presents laboratory-testing methods and evaluation criteria designed to improve understanding of both the origin and extent of formation damage associated with CO2 injection.
This work introduces an analytical model for nonisothermal CO2 injection that accounts for both Joule-Thomson cooling and interformation heat exchange.
As managed pressure drilling gains traction, its principles are influencing a wider range of well-construction activities.
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Bad vibes are being addressed by contractors as operators push to go faster, deeper, and longer with unconventional wells. -
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 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.
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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 paper investigates condensate-banking effects on well performance by conducting field-modeling studies on Delaware Basin deep Wolfcamp condensate producers using compositional simulation models with hydraulic fractures.
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This paper presents a novel methodology that merges principles of physics, data science, and uncertainty modeling to offer more-resilient and -precise solutions for managing real-time pipe-sticking occurrences
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The agreement focuses on improving operational efficiency and consistency through advanced digital tools and real-time data integration.
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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.
