tight oil
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The agreement formalizes JV ownership of Turnwell Industries which ADNOC Drilling created to manage a $1.7 billion unconventional drilling contract awarded in May.
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This paper presents a workflow that combines probabilistic modeling and deep-learning models trained on an ensemble of physics models to improve scalability and reliability for shale and tight-reservoir forecasting.
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This study describes a technique combining borehole acoustic reflection imaging with production logging in a horizontal well experiencing high water cut with the aim of enabling a mitigation plan.
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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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This paper describes the application of an underbalanced coiled tubing technology in tight sandstones, using an integrative approach that incorporates petrophysical, geophysical, and reservoir engineering data.
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The authors of this paper present an advanced dual-porosity, dual-permeability (A-DPDK) work flow that leverages benefits of discrete fracture and DPDK modeling approaches.
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The authors of this paper develop an integrated technical approach that can be used to unlock one of the largest undeveloped resources in an operator’s portfolio.
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This paper presents a physics-assisted deep-learning model to facilitate transfer learning in unconventional reservoirs by integrating the complementary strengths of physics-based and data-driven predictive models.
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This study catalogs global gas/oil ratio data to identify currently produced light crude oils that could be rendered carbon neutral through the direct-air-capture mechanism.
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This paper describes the analysis of actual performance data for acid fracturing in a tight carbonate formation to investigate the ineffectiveness of the process.
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