Document Type

Journal Article

Publication Title

Powder Technology

Volume

398

Publisher

Elsevier

School

Centre for Sustainable Energy and Resources

RAS ID

52138

Funders

Southern University of Science and Technology (Grant no. 2020A1515110301)

Comments

This is an Authors Accepted Manuscript version of an article published by Elsevier at: Wang, D., You, Z., Wang, M., Li, Q., & Wu, L. (2022). Numerical investigation of proppant transport at hydraulic-natural fracture intersection. Powder Technology, 398, article 117123. https://doi.org/10.1016/j.powtec.2022.117123

Wang, D., You, Z., Wang, M., Li, Q., & Wu, L. (2022). Numerical investigation of proppant transport at hydraulic-natural fracture intersection. Powder Technology, 398, article 117123.

https://doi.org/10.1016/j.powtec.2022.117123

Abstract

The transport mechanism of particles at fracture intersection is numerically studied by the coupled lattice Boltzmann-discrete element methods. First, the numerical method is validated via a benchmark test of the relative suspension viscosity. Second, a comprehensive parametric study on proppant transport through a T-junction is performed. The impacts of various parameters, including particle concentration, particle size, the Reynolds number and the fracture intersection angle are investigated. The results show that the proppant leak-off ratio decreases with particle concentration due to retardation and the Reynolds number due to inertial migration, and increases with fracture aperture. Particularly, the results also reveal a critical intersection angle of 60° at which the particle leak-off ratio reaches a maximum. Finally, an empirical expression is proposed to evaluate the particle leak-off ratio. The outcomes provide new insights into proppant transport in fracture networks and assist in an improved fracturing fluid design for naturally fractured reservoirs.

DOI

10.1016/j.powtec.2022.117123

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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