机器学习在水力压裂中的应用:一篇评论
1School of Mechanics and Engineering, Liaoning Technical University, Fuxin, 123000, China.
ACS omega
|March 31, 2025
概括
机器学习 (ML) 通过克服复杂的水库挑战来增强水力压裂. 这项技术改善了石油和天然气生产预测和运营效率.
科学领域:
- 石油工程是石油工程中的一个.
- 人工智能的人工智能
- 储水库工程 储水库工程
背景情况:
- 水力压裂对于石油和天然气生产至关重要.
- 预测断裂后的生产能力对于高效的现场开发至关重要.
- 储的复杂性和非线性流体流量构成了重要的建模挑战.
研究的目的:
- 审查机器学习 (ML) 在水力压裂中的应用.
- 分析这个领域的ML算法的优缺点.
- 讨论ML在改善液压压裂分析和生产中的作用.
主要方法:
- 对水力压裂中的ML现有文献的审查.
- 分析经典的ML算法和组合模型.
- 讨论实际应用和未来的研究方向.
主要成果:
- ML为复杂的水库参数和非线性流量所带来的挑战提供了解决方案.
- 各种ML算法在预测液压压裂性能方面显示出适用性.
- 机器学习可以帮助优化液压压裂操作并提高生产率.
结论:
- 机械制造是提高液压压裂效率和精度的一个有前途的工具.
- 基于知识嵌入的可解释的ML模型是未来的一个关键研究领域.
- 进一步开发ML对于推进石油和天然气开采技术至关重要.
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