| 引用本文: | 徐世乾,郭建春,曾凡辉,任文希,田助红.代理优化算法驱动的致密油压裂施工参数优化方法[J].控制理论与应用,2026,43(5):1023~1033.[点击复制] |
| XU Shi-qian,GUO Jian-chun,ZENG Fan-hui,REN Wen-xi,TIAN Zhu-hong.Optimization method of fracturing treatment parameters driven by surrogate optimization algorithm in tight oil[J].Control Theory & Applications,2026,43(5):1023~1033.[点击复制] |
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| 代理优化算法驱动的致密油压裂施工参数优化方法 |
| Optimization method of fracturing treatment parameters driven by surrogate optimization algorithm in tight oil |
| 摘要点击 286 全文点击 11 投稿时间：2024-05-28 修订日期：2025-12-15 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.40302 |
| 2026,43(5):1023-1033 |
| 中文关键词 致密油 压裂 优化 压裂生产一体化模拟 解平面特征 |
| 英文关键词 tight oil fracturing optimization integrated fracturing-production simulation solution plane characteristic |
| 基金项目 国家自然科学基金项目(52304045, U21A20105, 52374045), 中国石油与天然气集团公司前瞻性基础性战略性技术攻关项目(2021DJ4506), 中国石 油集团科学技术研究院项目(RIPED.CN??2024??JS??573)资助. |
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| 中文摘要 |
| 现有基于裂缝扩展的优化通常最大化改造体积, 无法评价经济效益; 基于油藏数模的优化假设裂缝为平面
双翼形态, 现场施工难以实现. 为此, 本文以经济效益最大为优化目标, 建立了致密油压裂施工参数优化数学模型.
基于致密油压裂生产一体化多机理数值模拟方法, 明确了该优化问题特征为解平面多峰值、高粗糙度, 数模计算成
本高. 利用符合该特征的测试函数与压裂优化问题优选出代理优化算法. 形成了压裂施工参数优化设计方法, 进而
开展矿场实例应用. 研究结果表明, 与遗传算法、随机简单近似梯度算法和人工原生动物优化器相比, 代理优化算
法寻优速度更快, 找到最优值更准. 有限模拟次数下, 与同时优化相比, 分级优化不仅可以获得更高的经济净现值,
还可以获得更高的产油量. 因此, 推荐采用分级优化策略开展实际储层的优化方案设计. 该方法为致密油压裂施工
参数优化提供了高效工具. |
| 英文摘要 |
| The optimization based on fracture propagation usually maximizes the stimulated reservoir volume, but cannot
evaluate the economic benefits. The optimization based on numerical reservoir simulation typically assumes that the
fracture is bi-wing planar shape, which is difficult to achieve in on-site construction. Therefore, this paper takes the maximum
economic benefit as the goal and establishes a mathematical model for the optimization of tight oil fracturing treatment
parameters. Based on the multi-mechanism numerical simulator of tight oil integrated fracturing and production, the characteristics
of the optimization problem are clarified. The solution plane has many peaks and high roughness. The numerical
simulator is computationally expensive. Then the optimization algorithms are compared using the fracturing optimization
problem and the test function that fit this characteristic. The surrogate optimization algorithm is recommended. In this way,
a fracturing treatment parameter optimization method is proposed. Then field application is conducted. Results show that
compared with genetic algorithm, stochastic simple approximate gradient algorithm and artificial protozoa optimizer, the
surrogate optimization algorithm is faster and more accurate in finding the optimal value. With limited simulation runs, in
comparison with simultaneous optimization, the hierarchical optimization strategy can not only achieve higher economic
benefit, but also achieve higher oil production. Therefore, it is recommended to adopt a hierarchical optimization strategy
to carry out the optimization of actual reservoirs. This method provides an efficient tool for optimizing fracturing treatment
parameters. |
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