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Risk prevention and control evaluation and optimization strategy for digital transformation in oil and gas production
Xing Chen1, Dong Jiang2, Jiahao Wu2
1Kela Oil and Gas Management Area, PetroChina Tarim Oilfield Company, Korla, 841000, Xinjiang, China. chenxing-tlm@petrochina.com.cn.
Abstract:
With the deep integration of digital technology and oil and gas production, digital transformation has become an important pathway to enhance efficiency and safety. This paper takes Oil and Gas Production Management Area A as the research object. Following the national standard GB/T 46,712 - 2025, we apply its five-dimensional evaluation framework with dimension weights from Table A.6 and tertiary indicator weights from Appendix of the standard. Quantitative assessments were conducted on three stations and individual wells. Results show that the maturity levels of various stations range from Level 2 to Level 3, indicating an overall intermediate level; the emergency management dimension scores relatively high, but foundational capabilities and risk prevention and control capabilities are generally low, becoming the main shortcomings of the transformation. The study identifies five core problems: prominent human-machine coordination contradictions, insufficient emergency response effectiveness, risks associated with single-worker operations, lack of personnel competency, and institutional lag. Five optimization measures are proposed: optimizing human-machine coordination, strengthening digital emergency response capabilities, improving health protection systems, enhancing talent cultivation, and perfecting institutional systems. This paper provides systematic evaluation methods and practical pathways for risk prevention and control in the digital transformation of oil and gas fields, offering significant theoretical value and practical guidance significance.
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