000			02587nab a2200193 4500
005			20260520001757.0
008			260224s2009 xxu
245	0	0	_aFlow of dispersed particles through porous media-deep bed filtration
260			_a _b _cnov. 2009
270			_a16/06/2010 ; 16/06/2010
300			_a18 p. ; 71-88
520			_aTranscripción del resumen del autor. Transport of dispersed particles in liquids through porous beds is widely recognized to occur in many industrial processes. The process of particle deposition from a colloidal suspension flowing through a porous medium is usually called deep bed filtration. The goal of the process can be either filtration of the particles by the granular media or, on the contrary, avoiding the particle filtration. Physical and chemical forces between suspended particles and grains of the media (collectors), particle size, fluid velocity and grain size play vital roles in the removal of particles from a suspension. Particle deposition can change the pore morphology and consequently the porosity of the porous medium and the local pressure gradient. This can cause permeability decline and therefore, loss of productivity or injectivity of wells. This article presents a comprehensive review of the literature related to deep bed filtration theories. Different mathematical models for evaluating both initial and transient stage of particle removal have been proposed during last decades. Trajectory analysis or convective diffusion equations have been used in microscopic modeling or so-called fundamental modeling to compute initial removal efficiency. Although these could predict the filter performance under favorable conditions but they underestimate the removal efficiency under unfavorable conditions. Hence, semi-empirical equations were developed for predicting removal efficiency under unfavorable conditions. Macroscopic or phenomenological modeling has been used to predict transient stage removal efficiency of deep bed filtration process. Predicting filter performance by this method requires the knowledge of functionality of filter coefficient. Filter coefficient can be obtained by using search optimization technique along with effluent concentration history. A review on different mathematical models for evaluating both initial and transient stage of particle removal process is presented.
581			_a1-2
773	0		_tJournal of Petroleum Science & Engineering _g69
942			_cARTICULO
100	1		_aZamani, Amir _942878
100	1		_aMaini, Brij _942879
999			_c171124 _d171124