Study On The Adjustment And Tracking Of Multilayer Sandstone Oilfield

With the deepening of oilfield development,well network encryption,especially in the ultra-high water cut stage,multilayer sandstone oilfield gradually exposed perforation well long,contradiction between layers,complex relationship,local injection injection production system is not perfect,low proportion of multi connected.In order to improve the effect of the implementation of the implementation of the restructuring of the system in 2013,but the lack of support for the adjustment of the system after the reorganization.This paper established the geological model of the reservoir,to complete the production history data fitting,the remaining oil distribution in different types of sand bodies on the map and are completed,the remaining oil reserves microfacies and the production level of;The optimization of the injection production ratio,the production fluid strength,the reasonable working system and the reasonable water injection layer division method in different stages of the study area are optimized;The prediction model of reservoir engineering method is established,and the variation rule of the development index of the system is predicted by the numerical simulation technique.The research shows that the multilayer sandstone oilfield in high water cut stage,through the implementation of layer recombination and timely tracking adjustment will significantly improve water flooding efficiency,through the method of reservoir engineering and numerical simulation technology can identify the block system of injection production parameters of boundary layer,In this paper,the standard of reasonable water injection layer in the north two east west block is studied as follows: the permeability variation coefficient is about 0.5,the number of sedimentary units is about 4,the thickness of the section is about 7m,and the number of the divided layers is greater than or equal to 4.Compared with the numerical simulation technology,reservoir engineering method to predict the cumulative fluid block maximum error,the average error of 12.73%,the predicted water minimum error,the average error is only 0.59%.