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Optimization of fracturing energy storage parameters based on response surface methodology and comprehensive learning particle swarm algorithm
Young Scientists Forum | 更新时间：2026-06-12

    • Optimization of fracturing energy storage parameters based on response surface methodology and comprehensive learning particle swarm algorithm

    • Petroleum Reservoir Evaluation and Development   Vol. 16, Issue 4, Pages: 749-759(2026)

    • DOI：10.13809/j.cnki.cn32-1825/te.2025419    

      CLC： TE357

    • Received：09 November 2025，

      Published：26 July 2026

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  • LU Cong, WANG Xinlin, ZENG Qijun, et al. Optimization of fracturing energy storage parameters based on response surface methodology and comprehensive learning particle swarm algorithm[J]. Petroleum Reservoir Evaluation and Development, 2026, 16(4): 749-759. DOI： 10.13809/j.cnki.cn32-1825/te.2025419.

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Related Author

LI QIUYUE
ZENG QIJUN
WANG XINLIN
LU CONG
SHEN ZHENHUA
LIU KUI
CHU YONGTAO
ZHANG LINHAI

Related Institution

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Engineering, Southwest Petroleum University
Sinopec Key Laboratory of Cementing and Completion
Sinopec Research Institute of Petroleum Engineering Co., Ltd.
Sinopec Zhongyuan Oilfield Company
Sinopec Research Institute of Petroleum Engineering
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