Research on the Application Value and Practice of Oilfield Digital Terminology from the Perspective of Digital Intelligence Empowerment

Under the multiple backgrounds of the “double carbon” goal, the promotion of the national energy security strategy and the iteration of new generation information technology, digital intelligence has become the core engine to solve the development dilemma of “two deep, one non-standard and one old” in the oil industry and promote the high-quality transformation of the traditional oil and gas industry. Digital terminology (defined herein as the standardized set of technical terms, semantic structures, and conceptual frameworks that emerge from the integration of digital technologies—such as AI, big data, cloud computing, and digital twins—with oilfield operations) serves as the basic carrier for technical exchange, achievement transformation and theoretical construction in the field of digital intelligence oil, and is the key link between digital technology and oil business [1]. Based on the current development status of digital smart oil fields (defined as oilfields that progressively move from data acquisition and automated control to intelligent analysis, collaborative decision-making, and human-machine synergy, thereby achieving optimized production, safety, and efficiency), this article clarifies the core concepts of digital smart oil and digital terminology, combines the actual application cases of PetroChina, Sinopec and other companies, explores the specific implementation scenarios of various digital terminology in the field of digital smart oil, sorts out the application paths and practical results of digital terminology in reservoir cognition, smart operation and maintenance, safety management and control, decision-making optimization, etc., and reveals the role of digital terminology in promoting the standardization and large-scale application of digital smart oil technology. It plays a core role in providing theoretical reference and practical reference for further deepening the integration and application of digital technology and the oil industry, improving the theoretical system in the field of digital intelligence in oil, and assisting the digital transformation of the industry.