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首页» 过刊浏览» 2019» Vol.4» Issue(4) 403-413     DOI : 10.3969/j.issn.2096-1693.2019.04.036
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人工智能在石油工业中的应用现状探讨
林伯韬1, 2*,郭建成1, 2
1 中国石油大学( 北京) 油气资源与探测国家重点实验室,北京 102249 2 中国石油大学( 北京) 石油工程学院,北京 102249
Discussion on current application of artificial intelligence in petroleum industry
LIN Botao1, 2, GUO Jiancheng1, 2
1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China 2 College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China

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摘要  人工智能随着计算机、机器翻译、自然语言处理等相关软硬件的发展而诞生,由于其出色的预测、分析、决策和计算能力,开始引领工业4.0,石油工业的智能化也由此被大力推进。本文从石油工业标志性的人工智能发展事件出发,阐述了近年来世界顶尖石油公司与互联网科技公司的创新合作,介绍了石油工业人工智能技术迄今发展的水平。发现人工智能技术应用范围已从上游的勘探、开发、生产贯穿至下游的运营、销售、投资,可显著提高油气行业的效率和效益;然而,目前通常采用的定制化人工智能技术距离通用性人工智能技术还存在较大距离。笔者认为石油工业的智能化趋势对石油从业者提出了更高的要求,其中专业知识和能力、数学能力以及编程水平将成为决定石油工业人工智能人才成才的关键因素。同时,未来石油行业的智能化发展是行业+人工智能的不断进化,以行业专业知识与技能为根基,侧重于优化预测和自动化能力的发展,以期最终形成贯穿石油工业全产业链的智能化物联网。
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关键词 : 人工智能; 石油工业; 大数据; 云计算; 自动化
Abstract

The artificial intelligence (AI) was born with the development of hardware and software such as computer, machine translation and natural language processing. Because of its outstanding capacities including prediction, analysis, decision making,and computing, it has begun to lead the progress of industry 4.0 and promoted the advances of the petroleum industry. This article begins by introducing several key AI events in the petroleum industry, then narrates the creative collaboration between the world-leading oil companies and the internet companies, as well as the current level of development of AI. It is discovered that the application of AI has been implemented throughout the upstream (exploration, development, production) to the downstream(management, sales, investment) channel, and has dramatically increased the efficiency and profit of the industry. However, the present specialized AI is still at a noticeable distance from the general AI level. The authors believe that the AI development of the industry requests higher capacities of the professionals adept at professional knowledge and skills, with advanced mathematical capacity and level of programming. Meanwhile, the future advancement of AI in the petroleum industry shall be first based on the progress of the industry itself plus the aid of the AI techniques, especially optimized prediction and automation, so as to finally form an intelligent internet of merchandises that connects the entire industry chain.

Key words: artificial intelligence; petroleum industry; big data; cloud computing; automation
收稿日期: 2019-12-30     
PACS:    
基金资助:国家科技重大专项“大型油气田及煤层气开发”课题4“页岩气排采工艺技术与应用”( 编号:2017ZX05037-004) 资助
通讯作者: linbotao@vip.163.com
引用本文:   
林伯韬, 郭建成. 人工智能在石油工业中的应用现状探讨. 石油科学通报, 2019, 04: 403-413
链接本文:  
LIN Botao, GUO Jiancheng. Discussion on current application of artificial intelligence in petroleum industry. Petroleum Science Bulletin, 2019, 04: 403-413.
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