A Characterization Method of Rock Fracturing Brittleness based on Multiple Linear Regression

Tingting Wang; Wanchun Zhao; Liandi Zhang; Xiaohan Feng; Kunpeng Zhang

doi:10.18311/jmmf/2017/27010

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Authors

Tingting Wang
School of Electrical Engineering & Information, Daqing 163 318, Heilongjiang ,CN
Wanchun Zhao
"Fault Deformation, Sealing and Fluid Migration” Science and Technology Innovation Team in Colleges and Universities of Heilongjiang, Daqing 163 318, Heilongjiang ,CN
Liandi Zhang
School of Petroleum Engineering, Northeast Petroleum University ,CN
Xiaohan Feng
School of Petroleum Engineering, Northeast Petroleum University ,CN
Kunpeng Zhang
School of Petroleum Engineering, Northeast Petroleum University ,CN

DOI:

https://doi.org/10.18311/jmmf/2017/27010

Keywords:

Unconventional Oil And Gas, Rock Fracturing, brittleness Index, Multiple Linear Regression, Multifractal.

Abstract

The brittle characteristics of rock mass is the key to the evaluation of unconventional oil and gas reservoir transformation effect. In this paper, in order to accurately brittle rock mass, the multifractal description method of multi-scale fracture distribution was established by means of CT scanning imaging. Considering the multi fractal characteristics of fracture in rock mass, a new method based on multiple linear regression was established to characterize shale brittleness. The B layer of A block in Songliao Basin, China, is selected as the research object, and the evaluation model of the brittle characteristics of rock mass fracture is obtained. The results show that the new method of brittle characterization is in good agreement with the actual results, which lays a foundation for the subsequent research on unconventional oil pressure cracking.