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A statistical-coupled model for organic-rich shale gas transport
Cao GH(曹高辉)1,2; Lin M(林缅)1,2; Jiang WB(江文滨)1; Zhao WL(赵文龙)1,2; Ji LL(姬莉莉)1; Li CX(李曹雄)1,2; Lei D3

Computation of shale permeability is challenging owing to the complicated physics of gas flow and the small-scale heterogeneity in nanometer pores. In this study, a statistical-coupled model (SCM), based on the combination of FIB/SEM and SEM imaging measurements and statistical analysis is proposed to bridge the nanopore-scale with the organic representative elementary volume (oREV)-scale. FIB/SEM imaging is adopted to get the nanometer pores properties in organic matter (OM), and SEM imaging is used to get the OM content distribution. With the analysis of nanopores of a Longmaxi shale sample from the Chongqing Province, China, it is demonstrated that the pore size distribution obtained from FIB/SEM images of typical samples is representative considering the principal parts of the pore radii are similar comparing with 2D SEM image. Then, the SCM is constructed based on the combination of the statistical method, the series-parallel model and the equivalent model for microstructures, and the rationality of SCM are also investigated. The obtained characteristic parameters show an excellent performance in calculating the SCM element permeability with a small deviation of less than 3% and a significantly faster computation speed comparing with the previous literature by approximately 400 times. Using the SCM, a method for the construction of oREV and the determination of oREV-scale permeability for the organic-rich shale is presented. Finally, the sensitivity analyses of oREV-scale permeability are conducted and the results show that the permeability is sensitive to the OM content distribution, the district of shale sample and the permeability of IOM. The influence of OM permeability on macroscale is also analyzed. The new model can advance the understanding of the multiscale phenomena and establish a relationship between microscale properties and macroscale behavior.

KeywordShale Gas Multiscale Permeability 3d Coupled Model Orev
Indexed BySCI ; EI
WOS IDWOS:000440428800016
WOS KeywordApparent Permeability ; Porous-media ; Multiscale ; Pore ; Flow ; Fracture ; Matrix ; Reservoirs ; Continuum ; Domain
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Petroleum
Funding OrganizationNational Natural Science Foundation of China(41690132 ; Major National Science and Technology Special Program of China(2017ZX05037-001) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDA14010101 ; 41574129) ; XDB10020302)
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Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorLin M(林缅)
Affiliation1.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
3.Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Cao GH,Lin M,Jiang WB,et al. A statistical-coupled model for organic-rich shale gas transport[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2018:10.1016/j.petrol.2018.05.033.
APA Cao GH.,Lin M.,Jiang WB.,Zhao WL.,Ji LL.,...&Lei D.(2018).A statistical-coupled model for organic-rich shale gas transport.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,10.1016/j.petrol.2018.05.033.
MLA Cao GH,et al."A statistical-coupled model for organic-rich shale gas transport".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2018):10.1016/j.petrol.2018.05.033.
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