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With the rapid development of information technology, big data technology has been widely applied in various industries, and petroleum engineering information systems are no exception. This article aims to explore the application of big data technology in the information system of petroleum engineering, and analyze its role in improving the efficiency and decision-making level of petroleum engineering management. This article provides an overview of the basic concepts and core components of big data technology, including data collection, storage, processing, analysis, and visualization techniques. It introduces the main components of petroleum engineering information systems and the current challenges they face. Through specific cases, this article elaborates on the practical application of big data technology in oilfield development, drilling engineering, and production management, demonstrating the significant advantages of big data in real-time monitoring, parameter optimization, fault prediction, and production analysis. This article discusses the challenges faced by the application of big data technology in petroleum engineering information systems, such as data quality, security and privacy, and technical talent, and proposes corresponding countermeasures. This article looks forward to the future application prospects of big data technology in petroleum engineering, emphasizing the importance of the combination and innovation of emerging technologies in promoting the development of informationization and intelligence in petroleum engineering. Through this study, we hope to provide valuable references for the optimization and innovation of petroleum engineering information systems.
Yupu et al. (Fri,) studied this question.