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大数据技术在石油工程中的应用现状与发展建议
引用本文:耿黎东. 大数据技术在石油工程中的应用现状与发展建议[J]. 石油钻探技术, 2021, 49(2): 72-78. DOI: 10.11911/syztjs.2020134
作者姓名:耿黎东
作者单位:中国石化石油工程技术研究院,北京 102206
基金项目:中国石油化工股份有限公司先导项目“大数据在钻完井优化中的应用研究”部分研究内容
摘    要:大数据技术逐渐成为石油公司与油服公司实现石油工程智能化和降本增效的重要手段之一,目前已成为国内外研究的热点.为了促进大数据技术在油气行业的快速发展和广泛应用,加快石油工程的数字化智能化转型,阐述了大数据技术的定义和特点,从大数据平台和钻井、压裂及开发等具体应用场景2个方面分析了大数据技术在石油工程中的应用现状,指出大数...

关 键 词:大数据  石油工程  应用现状  发展建议
收稿时间:2020-06-12

Application Status and Development Suggestions of Big Data Technology in Petroleum Engineering
Affiliation:Sinopec Research Institute of Petroleum Engineering, Beijing, 102206, China
Abstract:Big data technology, gradually becoming one of the most important methods for oil companies and oilfield service companies to realize petroleum engineering intelligence, cost reduction and efficiency improvement, has become a research hotspot at home and abroad. The paper introduces the definition and characteristics of big data technology to promote its rapid development and widespread application in the oil and gas industry and accelerate the digital and intelligent transformation of petroleum engineering. In this study, the current application of big data in petroleum engineering is analyzed from two aspects: big data platforms and specific application scenarios including drilling, fracturing and developing. Based on the analysis, it is proposed that an unified big data platform should be established with the cooperation of digital giants to modify the data management mechanism and technical standards. Besides, basic and prospective research should be strengthened, and research projects should be implemented for specific application scenarios, establishing an ecosystem of big data for petroleum engineering. The application of big data technology in petroleum engineering is promising, and it is of great significance to accelerate the investigation and application of big data in petroleum engineering for promoting the economic and efficient development of oil and gas . 
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