Experimental and Theoretical Study of Polymer Flow in Porous Media

1987 ◽  
Vol 2 (03) ◽  
pp. 281-304 ◽  
Author(s):  
K.S. Sorbie ◽  
A. Parker ◽  
P.J. Clifford
Keyword(s):  
Porous Media ◽  
Theoretical Study ◽  
Flow In Porous Media ◽  
Polymer Flow

scholarly journals Polymer Flow in Porous Media: Relevance to Enhanced Oil Recovery

2018 ◽  
Vol 2 (3) ◽  
pp. 27 ◽  
Author(s):  
Arne Skauge ◽  
Nematollah Zamani ◽  
Jørgen Gausdal Jacobsen ◽  
Behruz Shaker Shiran ◽  
Badar Al-Shakry ◽  
...  
Keyword(s):  
Porous Media ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Flow In Porous Media ◽  
Polymer Flow

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

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