Study on Intelligent Flow Field Adjustment in Reservoirs with Integrated Consideration of Crude Oil Material Base and Displacement Situation
摘要
During the long-term water drive development of the reservoir, the reservoir parameters, fluid dynamics, and other reservoir states change progressively, resulting in the internal flow field of the reservoir and the actual geological situation configuration being inconsistent, and the water injection wave efficiency is reduced, affecting the development effect. Therefore, the characterization and evaluation of the flow field adjustment potential in the reservoir is of great significance for reservoir development and scheme optimization and adjustment. In this study, based on the three evaluation dimensions of reservoir material base, crude oil driving situation and inter-well crude oil flow situation adaptation, combined with stratigraphic structural parameters, and comprehensively considering the subsurface static inhomogeneous situation, flow field suitability, residual oil driving situation, etc., we establish a multifactorial coupling index to guide the selection of reservoir preferential adjustment targets. And the cluster analysis method is used to establish the flow field grading evaluation standard, to analyze different flow fields and then determine the adjustment measures, optimize the development and adjustment scheme, and improve the development effect. The application of the flow field evaluation and adjustment method established in this study for the offshore multilayered sandstone reservoir P increases the oil recovery, reduces the water content, and increases the recovery degree of the adjusted reservoir by 0.33 percentage points, and the development effect is significantly improved. Meanwhile, compared with the development adjustment program prepared by the traditional method, we found that the content consistency is high, which confirms the reliability and practicality of the method. The method has been applied to three Chinese offshore oil fields, providing optimization suggestions for field development adjustment.