Application Status and Development Suggestions of Big Data Technology in Petroleum Engineering
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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，指出大数据技术在石油工程中的发展需要建立统一的大数据分析平台，与数字化巨头合作研发，完善石油工程大数据管理机制和技术标准，强化基础、前瞻技术研究，并针对具体应用场景部署实施相关项目，逐步建立石油工程大数据生态系统。大数据技术在石油工程行业具有广阔的应用前景，加快石油工程大数据技术的研究和应用，对于促进我国油气资源的经济高效开发具有重要作用。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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Keywords:
- big data /
- petroleum engineering /
- application status /
- development suggestion
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图 1 康菲公司IDW大数据平台发展历史
Figure 1. The development history of IDW big data platform of ConocoPhillips
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图 3 斯伦贝谢DELFI大数据平台发展历史
Figure 3. The development history of Schlumberger’s DELFI big data platform
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