Analytic Model for DBF Under Multiple Particle Retention Mechanisms

Araújo, Jane Azevedo de; Santos, A.

doi:10.1007/s11242-012-0112-z

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…The sand front interface and the penetration depth in a gravel pack cannot be obtained from the experiments. Also, simulation studies with a one-dimensional phenomenological model based on the average particle concentration obtained by experiments have been conducted [28][29][30][31][32]. However, these simulation studies cannot characterize the particle distribution.…”

Section: Introductionmentioning

confidence: 99%

Visual Experimental Study on Gradation Optimization of Two-Stage Gravel Packing Operation in Unconventional Reservoirs

Meng

et al. 2019

Energies

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During the development of unconventional reservoirs with high sand production rate and fine silt content such as heavy oil and hydrate reservoirs, silt sand blockage problem is a serious issue. A two-stage gravel-packing sand control technique is applied to solve the silt sand blockage now. However, traditional experiments on this technique could not obtain the dynamic distribution law of intrusive sand in the gravel pack. In this study, a new visualization experiment based on hydrodynamic similarity criterion for studying particle blockage in gravel packs was conducted. Real-time monitoring of sand particle migration in the gravel pack could be achieved. Also, the stable penetration depth and the distributing disciplinarian of invaded particles could be determined. The results show that when the gravel-to-sand median size ratio of gravel bed I is less than five, the sand bridge can be formed at the front end of the gravel pack. This could prevent sand from further intruding. As the grain size of gravel bed II is increased, the flow velocity is reduced. Thus, the sand invading into gravel bed II tends to settle at the interface. A large amount of sand intrusion can happen to gravel pack II when the pore filling front breaks through the gravel bed I.

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Section: Introductionmentioning

confidence: 99%

Visual Experimental Study on Gradation Optimization of Two-Stage Gravel Packing Operation in Unconventional Reservoirs

Meng

et al. 2019

Energies

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“…The system (1)-(2), subjected to initial and boundary conditions (4)-(5), has been extensively studied, and analytical solutions for various filtration coefficient functions are presented in the literature (Herzig et al 1970;Alvarez et al 2007;Araújo and Santos 2013).…”

Section: Introductionmentioning

confidence: 99%

“…After that, all unplugged pores are larger than the largest particle and particle retention by straining does not occur anymore (see Santos et al 2008). Araújo and Santos (2013) showed that, in this case, λ(σ ) can be represented by a linear decreasing function:…”

Section: Introductionmentioning

confidence: 99%

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Modeling Deep Bed Filtration Considering Limited Particle Retention

Santos

Araújo

2015

Transp Porous Med

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The classic deep bed filtration model (CDBFM) has been widely used for predicting transport and retention of particulate suspensions in porous media. In the CDBFM, the filtration coefficient function is assumed to be dependent of the retained particle concentration, and the boundary conditions are fixed at the porous media inlet cross section. However, if particle retention is limited, no more retention occurs (filtration coefficient equals zero) in regions where maximum retention (jamming limit) is reached. In this article, a model for deep bed filtration considering limited retention is proposed and analytical solutions are obtained. In cases where jamming limit is reached, the well-known CDBFM and the proposed model significantly differ from each other. Contrary to the CDBFM solutions, the obtained solutions show that concentrations along porous media are highly influenced by maximum retention front, which propagates with velocity independent of filtration coefficient.

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