The Application of Lattice Gas Automata to Study Fluid Flow in Porous Media

2018 ◽  
Author(s):  
Dedy Kristanto
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Lattice Gas ◽  
Flow In Porous Media ◽  
Lattice Gas Automata

scholarly journals Simulation Study of Fluid Flow and Estimation of a Heterogeneous Porous Media Properties Using Lattice Gas Automata Method

2020 ◽  
Vol 1 (2) ◽  
pp. 71
Author(s):  
Dedy Kristanto ◽  
Windyanesha Paradhita
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Laboratory Experiment ◽  
Reservoir Simulation ◽  
Lattice Gas ◽  
Heterogeneous Porous Media ◽  
Displacement Efficiency ◽  
Test Volume ◽  
Lattice Gas Automata ◽  
Geological Models

Most models used in reservoir simulation studies are on the scale of meters to hundreds of meters. However, increasing resolution in geological measurements results in finer geological models. Simulations study of particle movements provide an alternative to conventional reservoir simulation by allowing the study of microscopic and/or macroscopic fluid flow, which is close to the scale of geological models. In this paper, the FHP-II (Frisch, Hasslacher and Pomeau - FHP) model of lattice gas automata were developed to study fluid flow in order to estimate the properties of heterogeneous porous media. Heterogeneity simulated by placing solid obstacles randomly in a two-dimensional test volume. Properties of the heterogeneous porous media were estimated by the shape, size, number of the obstacles and by the distribution of the obstacles within the volume. Results of the effects of grain sizes and shapes, and its distribution in the porous media on the tortuosity, effective porosity, permeability and displacement efficiency were obtained. An investigation of fluid flow and comparison with laboratory experiment were also presented. Reasonably good agreement between the lattice gas automata simulation and laboratory experiment results were achieved.

Speed Up of Lattice Gas Automata Simulation of Polymer Flow Using a Cluster System

2012 ◽  
Author(s):  
Muhammad Taufiq Fathaddina ◽  
Mariyamni Awang
Keyword(s):  
Porous Media ◽  
Parallel Programming ◽  
Lattice Gas ◽  
Computation Time ◽  
Cluster System ◽  
Polymer Flooding ◽  
Flow In Porous Media ◽  
Polymer Flow ◽  
Lattice Gas Automata ◽  
Speed Up

Prestasi banjiran polimer boleh dianggar daripada tingkah laku mikroskopik partikel polimer dalam pori–pori media berliang. Kaedah kekisi gas automata adalah suatu kaedah pemodelan yang telah digunakan oleh penyelidik–penyelidik untuk mengkaji kelakuan aliran pada skala pori. Ia juga boleh digunakan untuk menyelaku aliran polimer dalam media berliang untuk mengkaji interaksi antara batuan dengan polimer. Namun, masa penghitungan terlalu panjang, walaupun untuk sampel media yang panjangnya 5 cm. Dalam kajian ini, penghitungan selari menggunakan komputer berdiri sendiri and sistem gugusan disiasati dalam usaha untuk mengurangkan masa penghitungan pemodelan banjiran polimer menggunakan kekisi gas automata. Daripada hasil kajian, speedup yang berasaskan pengolahan selari didapati lebih daripada 3.75 kali ganda, untuk empat pemprosesan atau kurang. Perbezaan dalam anggaran kecekapan penyesaran dan penepuan antara pengaturcaraan berjujukan dengan pengaturcaraan selari adalah kurang daripada tiga peratus. Oleh itu, dapatlah disimpulkan bahawa pengaturcaraan selari telah berjaya digunakan untuk melajukan penghitungan banjiran polimer tanpa menyebabkan variasi yang bererti daripada hasil keputusan. Kata kunci: Pengiraan selari; kekisi gas automata; penyesaran polimer The performance of polymer flooding may be estimated from microscopic behaviour of polymer particles in the pores of porous media. Lattice gas automata method is a modelling method that has been used by researchers to study flow behaviour on a particle scale. It had been also used to simulate polymer flow in porous media for studying microscopic interactions between rock and polymer. However, the computation time was too lengthy for even a 5 cm long porous media sample. On this study, parallel computing using standalone computers and a cluster system was investigated in an effort to decrease the computation time of modelling polymer flooding using lattice gas automata. From the results, speedup due to parallel processing was greater than 3.75 times for four processors and less. Differences in the estimations of displacement efficiency and saturations between sequential and parallel programming were less then three percent. It was concluded that parallel programming was successfully used to speed up computations in polymer flooding without causing significant variations in the results. Key words: Parallel computation; lattice gas automata; polymer displacement

Simulations of Single-Fluid Flow in Porous Media

1998 ◽  
Vol 09 (08) ◽  
pp. 1505-1521 ◽  
Author(s):  
A. Koponen ◽  
M. Kataja ◽  
J. Timonen ◽  
D. Kandhai
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Lattice Gas ◽  
Effective Porosity ◽  
Flow In Porous Media ◽  
Lattice Boltzmann Simulations ◽  
Porosity And Permeability ◽  
Flow Through ◽  
2D And 3D ◽  
Good Agreement

Several results of lattice-gas and lattice-Boltzmann simulations of single-fluid flow in 2D and 3D porous media are discussed. Simulation results for the tortuosity, effective porosity and permeability of a 2D random porous medium are reported. A modified Kozeny–Carman law is suggested, which includes the concept of effective porosity. This law is found to fit well the simulated 2D permeabilities. The results for fluid flow through large 3D random fibre webs are also presented. The simulated permeabilities of these webs are found to be in good agreement with experimental data. The simulations also confirm that, for this kind of materials, permeability depends exponentially on porosity over a large porosity range.

SECOND-GRADE MAGNETOHYDRODYNAMIC FLUID FLOW IN POROUS MEDIA

2010 ◽  
Vol 13 (11) ◽  
pp. 1033-1037
Author(s):  
Muhammad R. Mohyuddin ◽  
S. Islam ◽  
A. Hussain ◽  
A. M. Siddiqui
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Flow In Porous Media ◽  
Second Grade ◽  
Magnetohydrodynamic Fluid

scholarly journals Statistical Inference Over Persistent Homology Predicts Fluid Flow in Porous Media

2019 ◽  
Vol 55 (11) ◽  
pp. 9592-9603
Author(s):  
Chul Moon ◽  
Scott A. Mitchell ◽  
Jason E. Heath ◽  
Matthew Andrew
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Statistical Inference ◽  
Persistent Homology ◽  
Flow In Porous Media
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