Development of a methodology for assessing the effi iency of waterfl g (using the example of the T-Fm Ozernoe deposit)

This article discusses the evaluation of water flooding efficiency in various facial zones using the example of the T-FM reservoir in the Ozernoe deposit of the Perm Krai using statistical methods. For this, the effectof injection of a working agent into the formation oil production layer by constructing temporary one-dimensional regression models is analyzed. This technique allows to evaluate the efficiency of waterflooding with less time.
Materials and methods
The Statistica program; Maps of permeability in the Surfer program according to GIS data for each well were constructed to confirm the results.
Results
Having analyzed the submitted maps, it can be noted that some of the productionwells are heavily watered, while the percentage of water cuts of other wells is minimal. Watered wells are opened by those interlayers that have not been opened by other wells. This allows us to assume that it is through them that a breakthrough occurs in the production of wells. In this paper, permeability maps only provide information that the conclusions obtained about the distribution of the filtration streams do not contradict the geological structure of the deposit.
Conclusions
Within the facies of the shallow water, the flooding process proceeds in stages, and for the reef slope zone, a phased formation of the injected fluid flow is not observed. Also, an analysis of the built-in regression models allowed us to establish that the values of the accumulated injection factors in the regression equations (the dependence of accumulatedoil production on accumulated injection) allow determining the fractions of injection per each producing well in the source.Based on the results of using the methodology, it can be concluded that the constructed statistical models accurately determine the influence of those features of the geological structure, which in many ways determine the processes of oil displacement by water. The use in the analysis of statistical models will allow for more objective assessment of flooding processes in the future.