Abstract
In the process of oilfield development, reservoir, and fluid dynamic simulation are critical tools for optimizing resource utilization and enhancing recovery rates. However, traditional methods face significant limitations when addressing complex reservoir characteristics and fluid behaviors. With the rapid development of big data and artificial intelligence (AI) technologies, these advanced tools offer innovative solutions for reservoir characterization and fluid dynamic simulation. This paper provides a comprehensive review of the applications of big data and AI in reservoir characterization, fluid dynamic simulation, and oilfield development optimization, systematically exploring the potential of these technologies to enhance efficiency and sustainability in oilfield development. First, the paper introduces the application of big data in reservoir information extraction, focusing on the advantages of AI algorithms in improving reservoir modeling accuracy. Next, it examines the essential role of big data and AI in fluid dynamic monitoring and prediction, highlighting their significant contributions to optimizing oil recovery strategies, increasing recovery rates, and reducing resource wastage. Finally, the paper discusses the challenges in applying these technologies and envisions the extensive prospects of big data and AI in the oil and gas industry, providing valuable insights for future research and practice.
