Study on Digital Twin Technology to Drilling Performance Improvement and Risk Reduction

Abstract Digital twin technology is increasingly becoming an important means to enhance efficiency at various stages of oil and gas development, serving as a key driver for building intelligent oil and gas reservoirs and advancing the digital transformation of the oil and gas industry. In recent years, foreign oil and gas companies have actively promoted the application of digital twin technology in intelligent oil and gas reservoirs, achieving certain progress and breakthroughs in some key technologies and application scenarios. Based on summarizing the characteristics and the current state of digital twin technology for intelligent oil and gas reservoirs, this paper analyzes the latest research and development progress of digital twin technology in foreign intelligent oil and gas reservoirs, explores the key technologies and future development trends of digital twin technology for intelligent oil and gas reservoirs, and, considering the current state of digital technology development in China's oil and gas development, proposes technical development suggestions in areas such as basic theories of digital twins, digital twin technology for oil and gas equipment, wellbore digital twin technology, digital twin technology for oil and gas reservoirs, and digital twin software platforms. The research results show that: 1. As an integration of digital technologies, digital twin technology is currently in the initial stages of research and application in oil and gas development, constrained by data collection, algorithm models, and open platforms; 2. Model construction and intelligent algorithms based on application scenarios are the core of digital twins, and efforts should focus on applying and integrating traditional mechanistic models and artificial intelligence models in scenarios with urgent needs, solid foundations, and significant potential; 3. The future development of digital twin technology for intelligent oil and gas reservoirs will move towards surface-subsurface integration, multidisciplinary integration, and the integration of the entire lifecycle of oil and gas reservoirs, enhancing cooperation between operators and contractors through integrated open platforms, breaking down disciplinary boundaries, and promoting the sharing of data from geological exploration, well construction, and development production. The research results provide valuable reference and guidance for timely understanding and mastering the latest progress in digital twin technology for intelligent oil and gas reservoirs abroad, accelerating the construction of digital twin technology systems for intelligent oil and gas reservoirs, tackling key technologies and integrating applications, and promoting the digital transformation and intelligent development of the oil and gas industry.