2021
DOI: 10.1007/s12517-021-08344-0
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Quantitative prediction of complex tectonic fractures in the tight sandstone reservoirs: a fractal method

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Cited by 14 publications
(7 citation statements)
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“…In the analysis of the paleotectonic stress field and preservation conditions in the Changning area, it is confirmed that the faults formed by the Yanshan movement and Himalayan movement are the main fracture forming period (Wang et al, 2017;Fan et al, 2020b). Fault sealing is the direct reason affecting the preservation conditions (Awdal et al, 2013;Gale et al, 2014;Xie et al, 2019;Hou et al, 2020;Li et al, 2021a;Li, 2021;Qie et al, 2021;Wang and Wang, 2021); the distribution of faults and fractures is predicted by means of geophysical and stress field simulation. Combined with the analysis of shale gasbearing property, it is pointed out that the main reasons for the difference of shale gas-bearing property are the buried depth of stratum, the development of faults, and the difference of structural style (Liu P. et al, 2018;Hu et al, 2018;Guo et al, 2021;Shan et al, 2021), Combined with the analysis of the Jiaoshiba area successfully developed in Southeast Sichuan, it is considered that under medium burial depth, the high points of the gentle anticline and arc anticline are favorable accumulation and direction areas of shale gas.…”
Section: Introductionmentioning
confidence: 84%
“…In the analysis of the paleotectonic stress field and preservation conditions in the Changning area, it is confirmed that the faults formed by the Yanshan movement and Himalayan movement are the main fracture forming period (Wang et al, 2017;Fan et al, 2020b). Fault sealing is the direct reason affecting the preservation conditions (Awdal et al, 2013;Gale et al, 2014;Xie et al, 2019;Hou et al, 2020;Li et al, 2021a;Li, 2021;Qie et al, 2021;Wang and Wang, 2021); the distribution of faults and fractures is predicted by means of geophysical and stress field simulation. Combined with the analysis of shale gasbearing property, it is pointed out that the main reasons for the difference of shale gas-bearing property are the buried depth of stratum, the development of faults, and the difference of structural style (Liu P. et al, 2018;Hu et al, 2018;Guo et al, 2021;Shan et al, 2021), Combined with the analysis of the Jiaoshiba area successfully developed in Southeast Sichuan, it is considered that under medium burial depth, the high points of the gentle anticline and arc anticline are favorable accumulation and direction areas of shale gas.…”
Section: Introductionmentioning
confidence: 84%
“…The development of fractures affects the physical properties of shale reservoirs and strongly influences the formation and expansion of hydraulic pressure fractures, thus affecting shale productivity. Structural and nonstructural fractures are the main fractures developed in the study area (Zou et al, 2010;Li H. et al, 2021;Li, 2021).…”
Section: ) Fracturesmentioning
confidence: 99%
“…Fractures are important reservoir spaces and migration channels of shale gas, playing an important role in the accumulation, preservation, exploration, and development of shale gas (Li et al, 2019c;Li et al, 2020;Li H. et al, 2021;Li 2021). Investigation of the Lower Paleozoic marine shale gas in the Sichuan Basin and its surrounding areas shows that marine shale has a good material foundation, and gas-bearing can almost be observed in each drilling.…”
Section: Physical Characteristicsmentioning
confidence: 99%
“…Fractal geometry theory was proposed by Mandelbrot and can be used to characterize special structures that do not conform to European geometric laws and have certain self-similarity (Mandelbrot, 1978(Mandelbrot, , 1984(Mandelbrot, , 1985. In recent years, it has been widely used in the shale pore structure field (Li et al, 2019a;Liu et al, 2020;Li, 2021;Liu et al, 2021). Pore image data, gas or liquid flow test data (such as nitrogen adsorption and mercury intrusion tests), and NMR data can be used to study the pore fractal characteristics (Yang et al, 2017;Liu J. S. et al, 2018;Tang et al, 2019;Wei et al, 2019).…”
Section: Introductionmentioning
confidence: 99%