Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

This paper presents the development of a parallelized inverse model equipped with real-coded genetic algorithm, and its application for the characterization of a heterogeneous reservoir with integration of the core analysis data and multi-phase production data. By utilizing the developed model in this study, we performed the inverse calculation with the observed production data obtained from three-layered reservoir system in order to estimate porosity and permeability distributions. As a result, number of generations for the convergence was 43 and the fitness was 0.00107. From the calculated distributions of porosity and permeability, it was confirmed to be low permeability zone located at left-top and right-bottom side in the layer 1. In the case of layer 2 and 3, its zone is located at left and right-bottom side, respectively. According to the pressure matching results, the sum of the relative errors at producer 1 and producer 2 were 3.3% and 5.4%, respectively, that is, it was found that the pressures observed at well almost identical to those calculated by the developed model. Finally, from the estimated calculating efficiency of parallel process with three-nodes cluster, it shows that parallel process was 2.9 times as fast as serial one on an average.