一个受监督的机器学习模型来选择一个具有成本效益的定向钻井工具

Muhammad Nour1, Said K Elsayed1, Omar Mahmoud2

  • 1Department of Petroleum Engineering, Faculty of Petroleum and Mining Engineering, Suez University, Suez, 11252, Egypt.

Scientific reports
|November 4, 2024
PubMed
概括

使用机器学习优化定向钻井工具选择可以显著降低现场开发成本. XGBoost模型准确地预测了截面时间和成本,并考虑了非常具体的因素来减少人类偏差.

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