2019
DOI: 10.26804/ager.2019.04.05
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Parallel numerical simulation for a super large-scale compositional reservoir

Abstract: A compositional reservoir simulation model with ten-million grids is successfully computed using parallel processing techniques. The load balance optimization principle for parallel calculation is developed, which improves the calculation speed and accuracy, and provides a reliable basis for the design of reservoir development plan. Taking M reservoir as an example, the parallel numerical simulation study of compositional model with ten million grids is carried out. When the number of computational nodes incre… Show more

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Cited by 5 publications
(3 citation statements)
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“…Due to the increasingly attractive issues associated with the modern petroleum industry, compositional multiphase fluid flow in subsurface porous media has become a hot topic in current petroleum engineering academy [1][2][3]. With the growing demand for energy, an increasing focus has been shifted to unconventional resources to make up the production decline of conventional oil and gas, especially in North America and China.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the increasingly attractive issues associated with the modern petroleum industry, compositional multiphase fluid flow in subsurface porous media has become a hot topic in current petroleum engineering academy [1][2][3]. With the growing demand for energy, an increasing focus has been shifted to unconventional resources to make up the production decline of conventional oil and gas, especially in North America and China.…”
Section: Introductionmentioning
confidence: 99%
“…As multi-core and many-core architectures become more and more popular, parallel computing for petroleum reservoir simulation is now a subject of great interest. In recent years, there has been some work on parallel algorithms for reservoir problems; see [33][34][35][36][37][38][39][40][41][42][43][44][45] and references therein. For example, Feng et al [35] designed an OpenMP parallel algorithm with high efficiency and low memory cost for standard interpolation and coarse grid operator of AMG, under the framework of Fast Auxiliary Space Preconditioning (FASP) [46].…”
mentioning
confidence: 99%
“…When solving primary variables, fully implicit methods (Coats, 1980), adaptive implicit methods (Moortgat, 2017), sequential methods (Hu et al, 2020;Moncorgé et al, 2020), and other methods (Coats, 2000;Mostafavi et al, 2020) have all been studied and tested for their convergence and efficiency. In addition to algorithm research, parallel processing techniques (Lian et al, 2019) and graphics processing units can also be used to improve the calculation speed for the compositional model of CO 2 flooding.…”
Section: Introductionmentioning
confidence: 99%