Southwest Petroleum University

China University of Geosciences (wuhan)

China University of Petroleum

University of Electronic Science and Technology of China

Jiangxi Provincial Shale Gas. Investment Company, Ltd

Xiong Ding

Lei Chen

Kun Zhang

Xueying Wang

Xinyang He

Fengli Han

Yipeng Liu

Xuefei Yang

Hengfeng Gou

Jingru Ruan

Shu Jiang

Bin Li

Weishi Tang

Yi Zhang

Hulin Niu

Lintao Li

Ping Liu

Chengzao Jia

Yi Shu

Jiayi Liu

Jun Peng

Lu Lu

Zeyun Wang

Yi Xiao

Yiting Qiao

Laiting Ye

Binsong Zheng

Meijia Wu

Jinhua Liu

Yan Song

Zhenxue Jiang

Xuri Huang

Xuejiao Yuan

Pei Liu

Lin Jiang

Yongjun Li

Tianyou Zhi

Hong Liu

Weiwei Liu

Songyang Wan

Xiangyu Fan

Sihong Cheng

Daiyu Wu

Hu Zhao

A method for quantitative evaluation of self-sealing property of organic-rich shale includes: S1, selecting geological parameters for evaluating the self-sealing property of the organic-rich shale; S2, taking organic-rich shale samples, and measuring the geological parameters of each sample; S3, calculating a weight coefficient w; of each geological parameter; S4, calculating a self-sealing evaluation coefficient S, and correcting the S to obtain a corrected self-sealing evaluation coefficient S'; S5, establishing a self-sealing evaluation standard of the organic-rich shale according to the S′, wherein if S′≥0.6, the self-sealing grade is excellent, if 0.45≤S′<0.6, the self-sealing grade is good, if 0.3≤S′<0.45, the self-sealing grade is medium, and if S′<0.3, the self-sealing grade is poor. According to the method, the self-sealing property of the shale is quantitatively evaluated, and the preservation condition of the shale gas in the shale formation can be more accurately predicted.

Method for quantitative evaluation of self-sealing property of organic-rich shale

A calculation method for fractal dimensions of shale pores includes steps as follows. S1: multiple shale samples from a target stratum of a study area are obtained, parameter values of geological parameters of each of the multiple shale samples are obtained, followed by dividing the multiple shale samples into target shale samples and experimental shale samples. S2: PCA is performed on the parameter values to obtain principal components representing a variation of the geological parameters. fractal dimensions are calculated based on an existing fractal dimension calculation method. S3: the principal components are used as independent variables and the fractal dimensions are used as dependent variables, followed by performing regression analysis to obtain a quantitative calculation model. S4: the fractal dimensions of the target shale sample are calculated according to the parameter values and the quantitative calculation model for the fractal dimension based on the parameter values.

Calculation method for fractal dimension of shale pores

Provided is an analysis method for determining gas-bearing situation of an unknown shale reservoir, includes: S, selecting a shale reservoir of a target interval of a place; and collecting data of parameters of cores of each of a known gas-bearing shale reservoir A and a known water-bearing shale reservoir B; S, calculating average values of the parameters of each of the reservoirs A and B respectively; S, calculating average differences of the parameters of each of the reservoirs; S, calculating covariance values of the parameters of each of the reservoirs; S, establishing, according to the covariance values, an equation group and resolving discriminant coefficients; S, establishing a discriminant equation according to the discriminant coefficients and solving a discriminant index; and S, obtaining values of parameters of cores of a sample of the unknown shale reservoir, calculating a discriminant value, and determining gas-bearing situation of the unknown shale reservoir.

Analysis method for determining gas-bearing situation of unknown shale reservoir

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Chengdu, China

Xiong Ding