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Conception of Oil and Gas Resources Management Information System Construction Based on Data Center

Yu Bai, Wenbo Li,Yuyan Wang,Shujun Huang

ICAICE '23 Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering(2024)

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摘要
With the increasing use of information technology in the oil and gas industry, the scale of oil and gas resource data assets continues to expand. This highlights problems such as the need to improve data quality, the lack of deep mining and analysis of data, and the failure to reflect the role of application in decision support. In order to solve these problems, this paper proposes the construction of an oil and gas resources management information system based on a data center. By building a complete oil and gas resource application system ecology through data centers, it solves the problems existing in the current oil and gas resource database, and further strengthens oil and gas resources data collection, data management, data service, and data application. This will fully utilize the value of big data in oil and gas resources and support resource management decisions.
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