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Updated: May 5, 2026

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基于机器学习的对Panke油田页岩油中的水平井的压裂参数优化

Weirong Li1, Tianyang Zhang2, Xinju Liu3,4

  • 1Xi'an Shiyou University, Xi'an, 710065, China. weirong.li@xsyu.edu.cn.

Scientific reports
|March 13, 2024
PubMed
概括

本研究介绍了一种机器学习和粒子群优化工作流程,用于预测石油和天然气生产,并优化多阶段断裂水平井的断裂参数. ML-PSO模型增强了对紧密水库开发的决策.

关键词:
断裂参数优化的优化方法整合储水库模拟的整合机器学习是机器学习.灵敏度分析是一种灵敏度分析.页岩油是一种页岩油.

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Methods of Medium Optimization01:28

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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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