Development and Calibration of a Semianalytic Model for Shale Wells with Nonuniform Distribution of Induced Fractures Based on ES-MDA Method

doi:10.3390/en13143718

	Development and Calibration of a Semianalytic Model for Shale Wells with Nonuniform Distribution of Induced Fractures Based on ES-MDA Method
	Zhang, Qi 2,3; Jiang, Shu 2,3; Wu, Xinyue 2,3; Wang, Yan 1,4; Meng, Qingbang 2,3
刊名	ENERGIES
	2020-07-01
卷号	13 期号:14 页码:20
关键词	history matching semianalytic model unconventional gas reservoirs multistage fractured horizontal wells fractal theory
DOI	10.3390/en13143718
英文摘要	Given reliable parameters, a newly developed semianalytic model could offer an efficient option to predict the performance of the multi-fractured horizontal wells (MFHWs) in unconventional gas reservoirs. However, two major challenges come from the accurate description and significant parameters uncertainty of stimulated reservoir volume (SRV). The objective of this work is to develop and calibrate a semianalytic model using the ensemble smoother with multiple data assimilation (ES-MDA) method for the uncertainty reduction in the description and forecasting of MFHWs with nonuniform distribution of induced fractures. The fractal dimensions of induced-fracture spacing (d(fs)) and aperture (d(fa)) and tortuosity index of induced-fracture system (theta) are included based on fractal theory to describe the properties of SRV region. Additionally, for shale gas reservoirs, gas transport mechanisms, e.g., viscous flow with slippage, Knudsen diffusion, and surface diffusion, among multi-media including porous kerogen, inorganic matter, and fracture system are taken into account and the model is verified. Then, the effects of the fractal dimensions and tortuosity index of induced fractures on MFHWs performances are analyzed. What follows is employing the ES-MDA method with the presented model to reduce uncertainty in the forecasting of gas production rate for MFHWs in unconventional gas reservoirs using a synthetic case for the tight gas reservoir and a real field case for the shale gas reservoir. The results show that when the fractal dimensions of induced-fracture spacing and aperture is smaller than 2.0 or the tortuosity index of induced-fracture system is larger than 0, the permeability of induced-fracture system decreases with the increase of the distance from hydraulic fractures (HFs) in SRV region. The larged(fs)or small theta causes the small average permeability of the induced-fracture system, which results in large dimensionless pseudo-pressure and small dimensionless production rate. The matching results indicate that the proposed method could enrich the application of the semianalytic model in the practical field.
资助项目	National Natural Science Foundation of China[51904279] ; Fundamental Research Funds for the Central Universities (China University of Geosciences, Wuhan)[CUGGC04] ; Foundation of Key Laboratory of Tectonics and Petroleum Resources (China University of Geosciences)[TPR-2019-03]
WOS研究方向	Energy & Fuels
语种	英语
出版者	MDPI
WOS记录号	WOS:000557713900001
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/24633]
专题	中科院武汉岩土力学所
通讯作者	Jiang, Shu
作者单位	1.China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China 2.China Univ Geosci, Key Lab Tecton & Petr Resources, Minist Educ, Wuhan 430074, Peoples R China 3.China Univ Geosci, Sch Earth Resources, Wuhan 430074, Peoples R China 4.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Qi,Jiang, Shu,Wu, Xinyue,et al. Development and Calibration of a Semianalytic Model for Shale Wells with Nonuniform Distribution of Induced Fractures Based on ES-MDA Method[J]. ENERGIES,2020,13(14):20.
APA	Zhang, Qi,Jiang, Shu,Wu, Xinyue,Wang, Yan,&Meng, Qingbang.(2020).Development and Calibration of a Semianalytic Model for Shale Wells with Nonuniform Distribution of Induced Fractures Based on ES-MDA Method.ENERGIES,13(14),20.
MLA	Zhang, Qi,et al."Development and Calibration of a Semianalytic Model for Shale Wells with Nonuniform Distribution of Induced Fractures Based on ES-MDA Method".ENERGIES 13.14(2020):20.