Correction of basic equations for deep bed filtration with dispersion

被引:48
作者
Altoé , JE
Bedrikovetsky, P
Siqueira, AG
de Souza, ALS
Shecaira, FS
机构
[1] N Fluminense State Univ Lenep, UENF, Dept Petr Explorat & Prod Engn, BR-27925310 Macae, RJ, Brazil
[2] Cenpes, Petrobras, BR-21949900 Rio De Janeiro, Brazil
关键词
deep bed filtration; dispersion; suspension; governing equations; modelling; porous media; emulsion;
D O I
10.1016/j.petrol.2005.11.010
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Deep bed filtration of particle suspensions in porous media occurs during water injection into oil reservoirs, drilling fluid invasion into reservoir productive zones, fines migration in oil fields, bacteria, virus or contaminant transport in groundwater, industrial filtering, etc. The basic features of the process are advective and dispersive particle transport and particle capture by the porous medium. Particle transport in porous media is determined by advective I-low of carrier water and by hydrodynamic dispersion in micro-heterogeneous media. Thus, the particle flux is the sum of advective and dispersive fluxes. Transport of particles in porous media is described by an advection-diffusion equation and by a kinetic equation of particle capture. Conventional models for deep bed filtration take into account hydrodynamic particle dispersion in the mass balance equation but do not consider the effect of dispersive flux on retention kinetics. In the present study, a model for deep bed filtration with particle size exclusion taking into account particle hydrodynamic dispersion in both mass balance and retention kinetics equations is proposed. Analytical solutions are obtained for flows in infinite and semi-infinite reservoirs and in finite porous columns. The physical interpretation of the steady-state flow regimes described by the proposed and the traditional models favours the former. Comparative matching of experimental data on particle transport in porous columns by the two models is performed for two sets of laboratory data. (c) 2006 Elsevier B.V All rights reserved.
引用
收藏
页码:68 / 84
页数:17
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