Fully coupled hydro–mechanical controls on non-diffusive seismicity triggering front driven by hydraulic fracturing

The response of rock mass to engineering activities related to environment greatly depends on the scale of rock mass. Therefore, the scale dependency of rock mechanical behavior under different rock mass conditions is investigated in this research. As a crucial parameter, the volume of the block provides a fundamental understanding to define the rock mass condition and possible mechanical response. In this paper, at first, a systematic approach to calculate the block size distribution (BSD) based on the natural fracture parameters using most suitable distribution functions was established with the R language. Then, the rock mass parameters were extracted from core mapping in the depth of 1500 m–2000 m and the BSD was presented in a similar manner to soil particle size distribution. Finally, the rock mass behavior under different block sizes was investigated. The results showed that Vb25 = 3.4 dm3, Vb50 = 6.4 dm3, and Vb75 = 11.2 dm3, which were the average percentages to represent the BSD. In the research area, therefore, the fractured rock mass was dominated by minor blocks. Besides, the variation of rock mass deformation vs BSD showed that the fractured rock mass was aggravated with the decrease in the block size. The results will enhance the effect of BSD on rock mass mechanical properties.

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Fully coupled hydro–mechanical controls on non-diffusive seismicity triggering front driven by hydraulic fracturing

Cited by 4 publications

References 36 publications

A 2D continuous-discrete mixed seepage model considering the fluid exchange and the pore pressure discontinuity across the fracture for simulating fluid-driven fracturing

A 2D continuous-discrete mixed seepage model considering the fluid exchange and the pore pressure discontinuity across the fracture for simulating fluid-driven fracturing

Role of natural fractures characteristics on the performance of hydraulic fracturing for deep energy extraction using discrete fracture network (DFN)

Assessment of block size distribution in fractured rock mass and its influence on rock mass mechanical behavior

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