Research and Development Practice of Intelligent Reservoir Dynamic Analysis in Qinghai Oilfield

With the rapid development of generative artificial intelligence, data-driven intelligent computation and analysis methods have been massively applied in the field of petroleum exploration and development. Qinghai Oilfield has accumulated a large amount of reservoir dynamic analysis data in long-term exploration and development, but the comprehensive use of data and intelligent application is not deep enough, which seriously affects the efficiency of reservoir dynamic analysis. In order to improve the efficiency of reservoir dynamics analysis and decision-making, an intelligent reservoir dynamics analysis platform based on a cloud platform and artificial intelligence analysis methods was established in Qinghai Oilfield. The intelligent reservoir dynamic analysis platform integrates heterogeneous data from multiple sources, establishes scenario-based reservoir dynamic analysis topics, forms a four-level dynamic analysis structure of well-well group-layer-reservoir, and implements functions such as reservoir evaluation indicators calculation, reservoir dynamic early warning analysis, reservoir development parameters optimization, and reservoir development evaluation. Based on this platform, Qinghai Oilfield has achieved the intelligent practice of reservoir dynamic analysis with integrated geological engineering technology. Through the intelligent practice of reservoir dynamic analysis, Qinghai Oilfield has greatly improved the efficiency of reservoir development and production, and the digital and intelligent development has been promoted.