Numerical Model of Two-Phase Flow in Dissolvable Porous Media and Simulation of Reservoir Acidizing

Khramchenkov, Eduard; Khramchenkov, M. G.

doi:10.1007/s11053-018-9371-x

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…To speed up scientific calculations, various technologies are used, such as Open Multi-Processing (OpenMP) (Iryanto & Gunawan, 2017;Werneck et al, 2016), Message Passing Interface (MPI) (Akhmed-Zaki et al, 2019;Pannala et al, 2003), Open Computing Language (OpenCL) (Khramchenkov & Khramchenkov, 2018), Compute Unified Device Architecture (CUDA) (McClure et al, 2014;Zaza et al, 2016) and fragmented programming (Akhmed-Zaki et al, 2019;Malyshkin & Perepelkin, 2011).…”

Section: Public Interest Statementmentioning

confidence: 99%

GMRES based numerical simulation and parallel implementation of multicomponent multiphase flow in porous media

et al. 2020

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This article considered the numerical simulation of multicomponent multiphase flow in porous media. The resulting system of nonlinear equations linearized by the Newton-Raphson method and solved with the iterative Generalized minimal residual method (GMRES) algorithm. To achieve better convergence, we used the ILU(0) preconditioner to the GMRES algorithm. As a result, we used a completely implicit scheme called the Newton-ILU0-GMRES algorithm to solve the problem of interest. Based on the obtained sequential algorithm, we implemented a parallel algorithm using Message Passing Interface (MPI) technology. Additionally, we made comparisons between the parallel program of the presented algorithm and the parallel program using the ready-made Portable Extensible Toolkit for Scientific Computation (PETSc) library. We developed an MPI parallel algorithm and tested it on the MVS-10P supercomputer of the Interdepartmental Supercomputer Center of the Russian Academy of Sciences.

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Section: Public Interest Statementmentioning

confidence: 99%

GMRES based numerical simulation and parallel implementation of multicomponent multiphase flow in porous media

et al. 2020

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“…Mathematical models based on geological models can be developed for fluid flow, tectonic deformation, and metamorphism. An example is documented by Khramchenkov and Khramchenkov (2018), who presented a mathematical model for dissolution in a porous medium coupled with twophase flow. Through many physical experiments, the governing equations involving fluid flow, rock deformation, and thermal gradients have been developed for hydrothermal mineralization.…”

Section: Mathematical Model For Metallogenic Processesmentioning

confidence: 99%

Three-Dimensional Mineral Potential Mapping for Reducing Multiplicity and Uncertainty: Kaerqueka Polymetallic Deposit, QingHai Province, China

2019

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This study focuses on the selection of a method combining simulations of mineralizing processes with three-dimensional (3D) mapping to quantitatively predict locations of concealed mineralization and to reduce uncertainty and multiplicity. The simulation of oreforming processes for concealed mineralization requires the assessment of a regionÕs structural geology, ages of lithological units, degree of metamorphism, and role of magmatism in the genesis of mineralization. The evolution of various factors affecting the development of geological processes in space and time is discussed, including the assessment of models combining regional deformation-magmatic activity-mineralized hydrothermal fluid based on empirical knowledge. Given that metallogeny is a study of the genesis and regional distribution of mineral deposits and emphasizes their spatial and temporal relationships, this paper uses empirical knowledge to predict the locations of concealed mineral deposits. Furthermore, the analysis of 3D geological modeling of concealed orebodies is a process that contributes to understanding the metallogenesis of mineral deposits. In this study of the Kaerqueka skarn and porphyritic deposits, geological, geographic, remote sensing and geochemical data collected from this region are processed using computer modeling techniques available in the Surpac software to establish a digital representation of the mineral field. The ''block mapping modeling'' theory, geostatistical methods, simulations of oreforming processes, and 3D mapping methods are then combined to predict the locations of the most promising areas for concealed mineral deposits around the Kaerqueka deposit. This research introduces a new method for predicting and evaluating the locations of concealed orebodies by reducing multiplicity and uncertainty.

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Evolution Mechanisms of Carbonate Reservoirs Based on Dissolution Rates and Multifractal Analysis of Microscopic Morphology

Xie

Tang

et al. 2020

Nat Resour Res

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Numerical Model of Two-Phase Flow in Dissolvable Porous Media and Simulation of Reservoir Acidizing

Cited by 4 publications

References 23 publications

GMRES based numerical simulation and parallel implementation of multicomponent multiphase flow in porous media

GMRES based numerical simulation and parallel implementation of multicomponent multiphase flow in porous media

Three-Dimensional Mineral Potential Mapping for Reducing Multiplicity and Uncertainty: Kaerqueka Polymetallic Deposit, QingHai Province, China

Evolution Mechanisms of Carbonate Reservoirs Based on Dissolution Rates and Multifractal Analysis of Microscopic Morphology

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