Research on Intelligent Analysis Approach of Waterflooding for Mature Fields

Water flooding development for mature fields is faced with serious issues, such as complex injection-production relationship, frequent changes of the displacement field and serious ineffective water circulation. In order to address these issues, the fourth-generation zonal water injection technology is developed to realize real-time monitoring and optimal control. A large amount of data has been obtained, and thus it is urgent to carry out detailed intelligent analysis of mature-field water flooding development to better tap the remaining oil. An intelligent optimization system driven by dynamic and static reservoir data to control zonal water injection operations is constructed in this paper. Data mining and artificial intelligence algorithms are combined to establish a reservoir latent variable system. Then big data and physical laws are integrated within a “data-physics” dynamic model to obtain fluid saturation and pressure field. Automated history matching methods assisted with big data technology continuously deepens the understanding of reservoir heterogeneous physical properties and complex geological features, accordingly realizing lifetime prediction of mature field development, analyzing real-time effectiveness of zonal water injection and adjusting the reservoir development scheme.