Optimization of Non-Uniform Perforation Parameters for Multi-Cluster Fracturing

Qingdong Zeng, Wenzheng Liu and Jun Yao
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Qingdong Zeng: Department of Mechanics, College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Wenzheng Liu: Bohai Oilfield Research Institute, Tianjin Branch, CNOOC China Limited, Tianjin 300459, China
Jun Yao: Research Center of Multiphase Flow in Porous Media, China University of Petroleum (East China), Qingdao 266580, China

Energies, 2022, vol. 15, issue 14, 1-17

Abstract: Stress shadowing affects the simultaneous propagation of fractures from multiple perforation clusters. Employing uniform perforation parameters for all clusters cause the unbalanced growth of fractures, which arouses the demand of optimizing non-uniform perforation parameters. An optimization workflow combining a fracture propagation model and the particle swarm optimization method (PSO) is proposed for multi-cluster fracturing in this study. The fracture model considers the coupling of rock deformation and fluid flow along the wellbore and fractures, and it is solved by using the Newton iteration method. The optimization is performed by taking the variance of multiple fracture lengths as fitness value function in the frame of the PSO method. Numerical results show that using the same spacings and perforation parameters for all clusters is detrimental to the balanced growth of multiple fractures. The variance of fracture lengths drops greatly through optimization of cluster spacings and perforation number/diameter. Properly increasing the spacing and perforation number/diameter for the middle clusters promotes the balanced growth of multiple fractures. This study provides an efficient optimization workflow for multi-cluster fracturing treatment in horizontal wells.

Keywords: multi-cluster fracturing; balanced growth; non-uniform perforation; numerical simulation; PSO (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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