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Numerical Simulation of Hydraulic Fracturing in Coal Reservoirs Based on a Damage–Seepage Coupled Model and Optimization of Perforation Parameters

Oct 2026 · Processes · 0 citations · 32 references

Abstract

Coal reservoirs exhibit strong heterogeneity and complex in situ stress conditions, and the initiation and propagation of hydraulic fractures are jointly controlled by reservoir geology and perforation design. A damage–seepage coupled numerical model was established on the COMSOL Multiphysics platform (Version 6.2) by combining the maximum tensile stress criterion and the Mohr–Coulomb criterion with stress-dependent porosity–permeability relations, and was verified against the classical Hubbert–Willis analytical solution. The model was used to simulate the whole fracturing process, the effect of natural fractures, horizontal-well multi-perforation fracturing, and the sensitivity of breakdown pressure to perforation parameters under six reservoir conditions. The results show that: the bottomhole pressure evolves in a “buildup–breakdown–drop–re-accumulation” pattern, and the secondary breakdown pressure (about 22 MPa) is approximately 15% lower than the initial one (about 26 MPa), while the near-fracture permeability rises from 0.246 mD to more than 40 mD; natural fractures delay the first breakdown from about 40 s to 46 s but accelerate the post-breakdown propagation and enlarge the high-permeability region; horizontal-well fracturing initiates multiple transverse, feather-like fractures from the perforations, with a first breakdown pressure of 11.4 MPa at 20 s; doubling the initial permeability raises the breakdown pressure by 1.4–1.6 MPa, making initial permeability the most sensitive reservoir factor, followed by in situ stress orientation and rock strength; and the favorable perforation combination under the minimum-breakdown-pressure criterion shifts with reservoir conditions, e.g., from “8 holes/m, 60-degree” to “16 holes/m, 30-degree” when the maximum principal stress rotates from horizontal to vertical. These results provide a quantitative basis for the optimization of perforation parameters in coal-reservoir fracturing.

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