Numerical simulation of fiber–proppant cluster settling based on a coarse-grained DEM-CFD method

Hydraulic fracturing is a key technology for the efficient development of unconventional resources such as shale oil and gas, and the effective preservation of fracture conductivity is a core factor determining stimulation performance. Fiber-laden proppants can form cluster structures within fractures, thereby constructing stable “tube-bundle-like” conductive channels and significantly enhancing fracture conductivity. To address the challenges associated with fiber–proppant settling, including strong solid–liquid two-phase coupling, complex particle morphologies, and the excessive computational cost of full-scale simulations, this study introduces a coarse-grained modeling method based on energy conservation theory. In this approach, a large number of original particles are aggregated into coarse-grained particles while preserving the overall dynamic characteristics of the particle assembly. Scaling laws for contact forces, adhesive forces, and fluid–solid interaction forces after coarse-graining are derived, and a coupled coarse-grained discrete element method–computational fluid dynamics (CGDEM-CFD) framework applicable to mixed fiber–proppant systems is established to systematically investigate the settling behavior of fiber–proppant clusters. Based on the proposed model, the settling process of clusters under different coarse-graining conditions is simulated, and the evolution of cluster morphology, settling velocity, and pore structure is analyzed. The results indicate that fibers can form stable network structures among proppant particles, significantly increasing the characteristic size of the clusters and effectively suppressing their settling velocity. Meanwhile, the adopted coarse-graining method can substantially reduce the number of simulated particles and markedly improve computational efficiency while maintaining computational accuracy. The proposed method provides an effective tool for the efficient simulation of solid–liquid two-phase flows involving complex-shaped particles and offers important theoretical guidance for optimizing hydraulic fracturing parameters involving fiber-laden proppants.

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Publication Details

Journal
Particulate Science And Technology
Published
2026-08-28
DOI
https://doi.org/10.1080/02726351.2026.2720119
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical simulation of fiber–proppant cluster settling based on a coarse-grained DEM-CFD method

Yuxuan Liu, Ding Yan, Liansong Wu, Siming He et al.
Particulate Science And Technology
Granular flow and fluidized beds
article

Numerical simulation of fiber–proppant cluster settling based on a coarse-grained DEM-CFD method

Yuxuan Liu, Ding Yan, Liansong Wu, Siming He, Jianchun Guo, Bo Jiang
article en

Abstract

Hydraulic fracturing is a key technology for the efficient development of unconventional resources such as shale oil and gas, and the effective preservation of fracture conductivity is a core factor determining stimulation performance. Fiber-laden proppants can form cluster structures within fractures, thereby constructing stable “tube-bundle-like” conductive channels and significantly enhancing fracture conductivity. To address the challenges associated with fiber–proppant settling, including strong solid–liquid two-phase coupling, complex particle morphologies, and the excessive computational cost of full-scale simulations, this study introduces a coarse-grained modeling method based on energy conservation theory. In this approach, a large number of original particles are aggregated into coarse-grained particles while preserving the overall dynamic characteristics of the particle assembly. Scaling laws for contact forces, adhesive forces, and fluid–solid interaction forces after coarse-graining are derived, and a coupled coarse-grained discrete element method–computational fluid dynamics (CGDEM-CFD) framework applicable to mixed fiber–proppant systems is established to systematically investigate the settling behavior of fiber–proppant clusters. Based on the proposed model, the settling process of clusters under different coarse-graining conditions is simulated, and the evolution of cluster morphology, settling velocity, and pore structure is analyzed. The results indicate that fibers can form stable network structures among proppant particles, significantly increasing the characteristic size of the clusters and effectively suppressing their settling velocity. Meanwhile, the adopted coarse-graining method can substantially reduce the number of simulated particles and markedly improve computational efficiency while maintaining computational accuracy. The proposed method provides an effective tool for the efficient simulation of solid–liquid two-phase flows involving complex-shaped particles and offers important theoretical guidance for optimizing hydraulic fracturing parameters involving fiber-laden proppants.

Particulate Science And Technology
Southwest Petroleum University (CN), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN), China National Petroleum Corporation (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Granular flow and fluidized beds
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