2013
DOI: 10.1002/wrcr.20178
|View full text |Cite
|
Sign up to set email alerts
|

Semianalytical solutions for release of fluids from rock matrix blocks with different shapes, sizes, and depletion regimes

Abstract: [1] Dual-porosity (DP) models have been extensively used to simulate the flow of fluids (water or gas) in aggregate soils and fractured porous media. The fluid exchange between the rock matrix blocks and the fracture network is very important in DP models. In this study, we present semianalytical solutions for release of a single-phase liquid or gas from cylindrical and spherical matrix blocks with various block size distributions and different pressure depletion regimes in the fracture. The nonlinear pressure… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 21 publications
(6 citation statements)
references
References 55 publications
0
6
0
Order By: Relevance
“…Considering the multicontinuous media distributions in shale reservoirs, including organic matter, inorganic matter, and fracture network, scholars proposed the multicontinuous model to describe gas migration in shale gas reservoirs [35,36]. Since fracture network morphology and flow capacity have a greater impact on flow behavior, based on the conventional diffusion equation (uniform induced fracture spacing and uniform fracture network porosity/permeability, CDE), Cinco-Ley et al [37], Reis [38], Ranjbar et al [39], and other scholars proposed the modified conventional diffusion equations (MCDE) to simulate fluid flow between fractures and matrix. This equation takes into account the heteroge-neously distribution of induced fracture spacing and the uniformly distribution of fracture network porosity/permeability.…”
Section: Mass Transfer Simulation In Multiscale Mediamentioning
confidence: 99%
“…Considering the multicontinuous media distributions in shale reservoirs, including organic matter, inorganic matter, and fracture network, scholars proposed the multicontinuous model to describe gas migration in shale gas reservoirs [35,36]. Since fracture network morphology and flow capacity have a greater impact on flow behavior, based on the conventional diffusion equation (uniform induced fracture spacing and uniform fracture network porosity/permeability, CDE), Cinco-Ley et al [37], Reis [38], Ranjbar et al [39], and other scholars proposed the modified conventional diffusion equations (MCDE) to simulate fluid flow between fractures and matrix. This equation takes into account the heteroge-neously distribution of induced fracture spacing and the uniformly distribution of fracture network porosity/permeability.…”
Section: Mass Transfer Simulation In Multiscale Mediamentioning
confidence: 99%
“…In addition, there are some other studies [26,27] considering the influence of quadratic term u 2 . For example, Ranjbar et al [26] have considered the gas density variation in space and solved the nonlinear equations using semianalytical methods. However, they did not consider the effect of gas desorption and deformable media.…”
Section: Gas Flow Modelmentioning
confidence: 99%
“…The neglect of spatial variation may be valid because the fracture has a much higher permeability than the matrix block, often by several orders of magnitude (Sen, 1995; Warren & Root, 1963). The LPA‐based model was commonly employed for the problems of gas flow (e.g., Dejam et al., 2018; Jerbi et al., 2017; Ranjbar et al., 2013; Ranjbar & Hassanzadeh, 2011), solute transport (Bibby, 1981; Brusseau et al., 1994; Samardzioska & Popov, 2005), and heat transfer (Heinze & Hamidi, 2017). Besides, the LPA‐based model was also applied to investigate the infiltration in variably saturated soils (Gerke & van Genuchten, 1993a, 1993b) and pump‐induced flow in fractured aquifers (De Smedt, 2011; Dougherty & Babu, 1984; Greene et al., 1999; Tamayo‐Mas et al., 2018; Wang & Xue, 2018) in the literature of subsurface flow.…”
Section: Introductionmentioning
confidence: 99%