大数据在井筒工程的应用和发展

doi:10.11885/j.issn.1674-5086.2023.10.29.31

摘要/Abstract

摘要： 工业4.0 技术革命促进油气行业步入数字化、智能化高速发展的智慧油田新阶段，中国石油领域数字化建设和应用集成取得多项进展，已采集钻井、录井、测井、试油气、分析化验和油气生产等多项海量勘探开发的数据；并对数据展开多项大数据分析，加快自动化建设及智能决策等。但使用的数据面临井筒工程数据库标准不统一、数据深度共享难、数据孤岛问题严重等挑战。为加速地质工程一体化建设和应用，深化井筒工程大数据服务及智慧油田建设，分析了井筒工程大数据与传统大数据的联系与区别，统计了国内外油气大数据技术与平台现状，介绍了井筒数据特征和层次，总结了常见井筒工程问题的大数据算法；提出了如何根据业务需求进行算法优选的方案。最后，对当前大数据技术在井筒工程中应用存在的问题提出了发展性建议。

关键词: 井筒工程, 大数据, 人工智能, 油气云平台, 地质工程一体化

Abstract: Industrial 4.0 technological revolution promotes the oil and gas industry to enter a new stage of smart oilfields, which is characterized by digitalization and intelligence. China has made great progress in digital construction and application integration in the oil field, carrying out a number of big data analysis on massive exploration and development data collected, such as drilling, logging, well testing, analysis and testing, oil and gas production, and accelerating automated construction and intelligent decision-making. However, there are some challenges, such as inconsistent standards of well engineering database, difficulties in in-depth data sharing, severe data isolation and so on. In order to accelerate the construction and application of geology–engineering integration and better leverage the big data of well engineering for the construction of smart oilfield, the following work has been carried out: the relationship and difference between big data of well engineering and traditional big data are analyzed; the current situation of oil and gas big data platforms at home and abroad is counted; the characteristics and levels of well data are introduced; the big data algorithm of common well engineering problems is summarized; the scheme of algorithm optimization according to business requirements is proposed. Finally, the development suggestions are put forward for the current problems existing in the application of current big data technology in well engineering.

Key words: well engineering, big data, artificial intelligence, oil and gas cloud platform, geology-engineering integration

中图分类号:

TE28

张智, 王翔辉, 丁剑, 赵捷, 武林芳, 侯振永. 大数据在井筒工程的应用和发展[J]. 西南石油大学学报(自然科学版), 2025, 47(6): 1-14.

ZHANG Zhi, WANG Xianghui, DING Jian, ZHAO Jie, WU Linfang, HOU Zhenyong. Application and Development of Big Data in Well Engineering[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(6): 1-14.

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