论文详情

人工智能在全球油气工业领域的应用现状与前景展望

石油钻采工艺

2021年 43卷第4期

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Title

The application status and prospect of artificial intelligence in the global oil and gas industry

作者

窦宏恩张蕾米兰彭翼王洪亮

Authors

DOU Hongen ZHANG Lei MI Lan PENG Yi WANG Hongliang

单位

中国石油勘探开发研究院

Organization

CNPC Research Institute of Petroleum Exploration & Development, Beijing 100083, China

摘要

追溯了人工智能的发展历程及特点，介绍了人工智能领域所囊括的关键技术：机器学习、深度学习、迁移学习、联邦学习、自动学习、区块链和数字孪生等，深入剖析了目前国内外油气工业领域人工智能技术发展及应用现状，最后展望了人工智能在油气工业各个领域的发展前景，提出了可供油气行业技术人员和战略规划人员借鉴的人工智能未来重点发展方向和业务发展领域。

Abstract

This paper traces the development history and characteristics of artificial intelligence, and introduces the key technologies of artificial intelligence as a new discipline: machine learning, deep learning, transfer learning, federated learning, automatic machine learning, block chain and digital twinning. The development and application status of artificial intelligence technology in oil and gas industry in the world are deeply analyzed. Finally, the development prospects of artificial intelligence in various fields of oil and gas industry are prospected. The key development directions and business fields of artificial intelligence for the reference of technical personnel and strategic planners in oil and gas industry are proposed.

关键词：

人工智能; 油气工业; 机器学习; 勘探开发; 油气井工程;

Keywords:

artificial intelligence; oil and gas industry; machine learning; exploration and development; oil and gas well engineering;

基金项目

DOI

10.13639/j.odpt.2021.04.001