Southwest Petroleum University

China University of Geosciences (wuhan)

China University of Petroleum

Jiangxi Provincial Shale Gas. Investment Company, Ltd

Laiting Ye

Lei Chen

Kun Zhang

Xinyang He

Xueying Wang

Yipeng Liu

Fengli Han

Xuefei Yang

Hengfeng Gou

Jingru Ruan

Yi Zhang

Hulin Niu

Weishi Tang

Ping Liu

Lintao Li

Shu Jiang

Jiayi Liu

Chengzao Jia

Yi Shu

Xiong Ding

Lu Lu

Zeyun Wang

Yiting Qiao

Meijia Wu

Yi Xiao

Bin Li

Yan Song

Jun Peng

Binsong Zheng

Jinhua Liu

Lin Jiang

Zhenxue Jiang

Weiwei Liu

Songyang Wan

Sihong Cheng

Daiyu Wu

Yongjun Li

Tianyou Zhi

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

Growing community of inventors

Chengdu, China

Laiting Ye