典型文献
Intelligent Drilling and Completion:A Review
文献摘要：
The application of artificial intelligence(AI)has become inevitable in the petroleum industry.In drilling and completion engineering,AI is regarded as a transformative technology that can lower costs and sig-nificantly improve drilling efficiency(DE).In recent years,numerous studies have focused on intelligent algorithms and their application.Advanced technologies,such as digital twins and physics-guided neural networks,are expected to play roles in drilling and completion engineering.However,many challenges remain to be addressed,such as the automatic processing of multi-source and multi-scale data.Additionally,in intelligent drilling and completion,methods for the fusion of data-driven and physics-based models,few-sample learning,uncertainty modeling,and the interpretability and transferability of intelligent algorithms are research frontiers.Based on intelligent application scenarios,this study com-prehensively reviews the research status of intelligent drilling and completion and discusses key research areas in the future.This study aims to enhance the berthing of AI techniques in drilling and completion engineering.
文献关键词：
中图分类号：
作者姓名：
Gensheng Li;Xianzhi Song;Shouceng Tian;Zhaopeng Zhu
作者机构：
State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum,Beijing 102249,China
文献出处：
引用格式：
[1]Gensheng Li;Xianzhi Song;Shouceng Tian;Zhaopeng Zhu-.Intelligent Drilling and Completion:A Review)[J].工程（英文）,2022(11):33-48
A类：
berthing
B类：
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AB值：
0.609165
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