Simulation of Oil Recovery Processes with the Employment of High-Performance Computing Systems

Lyupa, Anastasiya Alexandrovna; Morozov, D. N.; Trapeznikova, Marina; Четверушкин, Б. Н.; Churbanova, Natalia Gennadievna; Lemeshevsky, Sergey

doi:10.1134/s2070048216020095

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…вые потоки на границе ячейки, которые рассчитываем по схеме с центральными разностями [16][17][18]. Вычисленное предварительное поле скорости  v * не удовлетворяет условию на дивергенцию скорости S [10].…”

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Modeling the Flow of Multicomponent Reactive Gas on Unstructured Grids

Zhalnin

Masyagin

Peskova

et al. 2020

Engineering Technologies and Systems

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Introduction. The article deals with mathematical modeling of the subsonic flow of a multicomponent reactive mixture in a flowing chemical reactor. The numerical algorithm is based on the finite volume method; the calculation is performed on unstructured triangular grids using the Message Passing Interface parallel computing technology. Materials and Methods. To describe the flows under studying, the Navier–Stokes equations are used in the approximation for low Mach numbers. To solve these equations, the finite volume method on unstructured triangular grids is used. The study uses a splitting scheme for physical processes, namely, the chemical kinetics equations responsible for the transformations of substances are first solved, and then the equations describing the conservation laws of momentum and energy for each component of the gas mixture are solved. To find numerical flows through the edges of the grid elements, the Lax–Friedrichs–Rusanov scheme is used. To solve the equations of chemical kinetics, a compact algorithm proposed by the team led by N.N. Kalitkin is used. The METIS library is used to divide the grid into connected subdomains with an approximately equal number of cells. To organize parallel computing, Message Passing Interface technology is used. Results. The article presents a numerical algorithm for studying multicomponent gas flows on unstructured triangular grids taking into account viscosity, diffusion, thermal conductivity, and chemical reactions. As a result of the study, a numerical simulation of the flow of a subsonic multicomponent gas in a flowing chemical reactor was carried out using ethane pyrolysis as an example. Computational, known numerical solutions and experimental data of ethane pyrolysis in a flowing reactor are compared. Discussion and Conclusion. The numerical results on the conversion of the initial gas mixture are in good agreement with the known experimental data. The presented distribution patterns of the main components of the mixture and gas-dynamic parameters correspond to the flow pattern observed experimentally. Further work in this direction involves the modeling of subsonic gas flows on unstructured tetrahedral meshes using algorithms of higher accuracy for a more accurate study of ongoing processes.

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Section: 1unclassified

Modeling the Flow of Multicomponent Reactive Gas on Unstructured Grids

Zhalnin

Masyagin

Peskova

et al. 2020

Engineering Technologies and Systems

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“…Several studies have been carried out in hydrogeological modelling (Bear 1988, Andersen et al 2001) and mainly in the recovery and production of hydrocarbons in an oil reservoir that uses modern computational techniques combined with parallel procedures (Bear 1988, Lyupa et al 2016. In problems involving multiple coupled physics, quite often, aiming at a computational gain, the various phenomena that govern the problem are solved in an implicit sequential manner (Kim et al 2011), this produces a system of equations of different primary unknowns, governed by separate physical phenomena (i.e.…”

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Acceleration strategies for Tridimensional Coupled hydromechanical problems based on CPU and GPU programming in MATLAB

Joseph

Ribeiro

Guimarães

et al. 2022

An. Acad. Bras. Ciênc.

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Large-scale fluid flow in porous media demands intense computations and occurs in the most diverse applications, including groundwater flow and oil recovery. This article presents novel computational strategies applied to reservoir geomechanics.Advances are proposed for the efficient assembly of finite element matrices and the solution of linear systems using highly vectorized code in MATLAB. In the CPU version, element matrix assembly is performed using conventional vectorization procedures, based on two strategies: the explicit matrices, and the multidimensional products. Further assembly of the global sparse matrix is achieved using the native sparse function. For the GPU version, computation of the complete set of element matrices is performed with the same strategies as the CPU approach, using gpuArray structures and the native CUDA support provided by MATLAB Parallel Computing Toolbox. Solution of the resulting linear system in CPU and GPU versions is obtained with two strategies using a one-way approach: the native conjugate gradient solver (pcg), and the one provided by the Eigen library. A broad discussion is presented in a dedicated benchmark, where the different strategies using CPU and GPU are compared in processing time and memory requirements. These analyses present significant speedups over serial codes.

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Application of Parallel Programming Methods for Simulating Flow Diversion Technologies on Hybrid Architecture Computers

Никифоров

Sadovnikov

2019

Program Comput Soft

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Simulation of Oil Recovery Processes with the Employment of High-Performance Computing Systems

Cited by 5 publications

References 6 publications

Modeling the Flow of Multicomponent Reactive Gas on Unstructured Grids

Modeling the Flow of Multicomponent Reactive Gas on Unstructured Grids

Acceleration strategies for Tridimensional Coupled hydromechanical problems based on CPU and GPU programming in MATLAB

Application of Parallel Programming Methods for Simulating Flow Diversion Technologies on Hybrid Architecture Computers

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