Optimization of Fracturing Energy Storage Parameters Using Response Surface Methodology and Comprehensive Learning Particle Swarm Optimization

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更新时间：2026-03-27

- Optimization of Fracturing Energy Storage Parameters Using Response Surface Methodology and Comprehensive Learning Particle Swarm Optimization
- Petroleum Reservoir Evaluation and Development Pages: 1-11(2026)
- 作者机构：
  
  油气藏地质及开发工程全国重点实验室西南石油大学，四川成都 610500
- 作者简介：
- 基金信息：
- DOI：10.13809/j.cnki.cn32-1825/te.2025419
  CLC： TE357
- Received：09 November 2025，
  
  Online First：27 March 2026，
- 稿件说明：
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卢聪, 王鑫林, 曾祺俊, 等. 基于响应面法和综合学习粒子群算法的压裂蓄能参数优化[J]. 油气藏评价与开发, XXXX, XX(XX): 1-11.

LU Cong, WANG Xinlin, ZENG Qijun, et al. Optimization of Fracturing Energy Storage Parameters Using Response Surface Methodology and Comprehensive Learning Particle Swarm Optimization[J]. Petroleum Reservoir Evaluation and Development, XXXX, XX(XX): 1-11.
卢聪, 王鑫林, 曾祺俊, 等. 基于响应面法和综合学习粒子群算法的压裂蓄能参数优化[J]. 油气藏评价与开发, XXXX, XX(XX): 1-11. DOI： 10.13809/j.cnki.cn32-1825/te.2025419.

LU Cong, WANG Xinlin, ZENG Qijun, et al. Optimization of Fracturing Energy Storage Parameters Using Response Surface Methodology and Comprehensive Learning Particle Swarm Optimization[J]. Petroleum Reservoir Evaluation and Development, XXXX, XX(XX): 1-11. DOI： 10.13809/j.cnki.cn32-1825/te.2025419.

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