Application and Development of Big Data in Well Engineering

doi:10.11885/j.issn.1674-5086.2023.10.29.31

Abstract

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

CLC Number:

TE28

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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