Cognitive artificial intelligence for automated reservoir analysis and prediction of porosity, permeability, and fluid saturation. [PDF]
Guilianno F, Okengwu KO, Okengwu UA.
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Unraveling the Coupling Mechanism of Viscous and Capillary Forces in Tight Sandstone: An Integrated Study Using Online NMR and Phase-Field Simulation. [PDF]
Zhang Z +6 more
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Author Correction: Machine learning analysis of CO<sub>2</sub> and methane adsorption in tight reservoir rocks. [PDF]
Maleki M +5 more
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A stress-controlled reservoir formation model for ultra-deep sandstones in foreland thrust belts: case study of the cretaceous bashijiqike formation, bozi-dabei area, kuqa depression, tarim basin. [PDF]
Wang C, Zhong D, Mo T, Sun H.
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Influencing factors of oil-bearing capacity in tight sandstones based on pore structure characterization: a case study of the Fuyu reservoir in the Xinmiao oilfield, Southern Songliao Basin. [PDF]
Wang H +11 more
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New In Situ Amphipathic Polymerization-Modified Titanium Quantum Dots: Application as a High-Performance Water-Lock-Breaking Agent in Tight Gas Reservoirs. [PDF]
Li H +9 more
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Microfluidic Experimental Study on Oil Phase Mobility during CO<sub>2</sub>-Hydrocarbon Gas Injection in Tight Oil Reservoirs. [PDF]
Jiang W +6 more
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Enhancing chalk formation integrity by diammonium phosphate treatment. [PDF]
Desouky M +4 more
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Multiscale microscopic pore structure characterization and storage-flow coupling mechanisms in ultra-low permeability tight sandstone reservoirs. [PDF]
Li CL +5 more
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