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• W4282007997 abstract "Marine deep shale gas represents the main target of future shale gas development in China. In order to identify the key parametric characteristics of deep shales, a comprehensive test method and application study was carried out based on LF-NMR technology. The results show that the NMR T2 spectrum of shales varied considerably in different states. A new NMR porosity and water saturation test method based on three-time measurements was established. The relative error between corrected NMR and water immersion porosity is reduced from 49.97% to 6.66%, while that between corrected NMR and weighing water saturation is reduced from 32.15% to 6.85%. By testing key parameters such as free water quantity, adsorbed water quantity, and average adsorption thickness, the NMR surface relaxivity of shale is determined and used to transform NMR T2 spectrum into pore size distribution. The NMR T2 spectra of individual sublayers also differ significantly. In order to quantitatively describe the distribution of spectral peaks, a new reservoir evaluation parameter, T2 geometric mean value (T2g), is proposed. Larger T2g values signify larger pores, broader average pore size distribution, and higher fluid mobility. With this parameter, qualitative description of pore size distribution can be transformed into quantitative characterization. When evaluating shale gas reservoirs, it is important to use multiple key parameters, among which NMR test results are an important indicator. LF-NMR testing is uniquely superior over other test methods as one or more NMR tests can provide abundant parametric information. The presented comprehensive NMR test method offers useful theoretical references for furthering the development and application of this technology in shale gas research." @default.
• W4282007997 created "2022-06-13" @default.
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• W4282007997 date "2022-01-01" @default.
• W4282007997 modified "2023-10-16" @default.
• W4282007997 title "Comprehensive characterization and evaluation of deep shales from Wufeng-Longmaxi Formation by LF-NMR technology" @default.
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• W4282007997 doi "https://doi.org/10.1016/j.uncres.2022.05.001" @default.
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