Improving the quality of production simulation model by applying the results of nonlinear signal processing methods

Abstract

The petroleum production simulation model is a reliable and commonly used tool by petroleum engineers in field operation and management. Production history matching is a vital link while building and completing the simulation model such that it accurately reflects reservoir behavior. In addition to the methods such as direct modification and automatic/assisted history matching, the authors propose a solution to improve the efficiency of history matching by applying the results of nonlinear signal processing methods and data point mapping method through interpolation algorithm. The method is applied for 3 water injection wells, 10 production wells at Miocene reservoir of the water flooding field X in Cuu Long Basin. The results show that the water-cut parameter of 7/10 production wells really improved in comparison to the initial model. The error of oil and liquid cumulative production in the simulation model compared to reality data respectively decreases from -2.8% to -0.3% and from +11.7% to less than 5%.