Аннотация
Summary Recently, modern information technology are used in many fields of industry, and using parallel computation can enhance the performance of numerical simulation. So in this study, we use the high-performance computing technologies to solve the problem of numerical simulations of a polymer flooding process of oil recovery. The range of applications of polymers have been progressively increased. It began to be used rapidly in various fields of science and technology, including chemistry, pharmacology, and chemical and petroleum engineering. Polymer flooding is best for improving sweep in reservoirs where fractures do not cause severe channeling, also it is one of the enhanced oil recovery technique that has been successfully applied in many fields of projects, especially in chemical and petroleum engineering. The viscosity of water is increased by injecting polymer into the reservoir, and this process highly improved the efficiency of water flooding process. This study aims to develop a hybrid (Open MP+ MPI + CUDA) parallel computing model associated with oil recovery by polymer flooding. The model developed is general enough to analyze a polymer flooding for oil recovery. The main purpose of this study is a comparative analysis of the parallel algorithm computing results on different technologies, in order to show the results of each of Open MP, MPI, CUDA, and hybrid of these three techniques for solving oil recovery problems. The computing results of parallel algorithms were compared and analyzed. Numerical model are developed and the results of these modeling is presented. Studying these models of parallel algorithms run on the high-performance computer, and the results enhance the program performances and decrease the implementation time. So, we draw the conclusion that these models are suitable for large-scale numerical calculations and Open MP-MPI-CUDA hybrid model can increase the performance of numerical simulations of a polymer flooding process and achieve higher speedup.