2021
DOI: 10.1007/s10596-021-10109-3
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Multiscale matrix-fracture transfer functions for naturally fractured reservoirs using an analytical, infinite conductivity, discrete fracture model

Abstract: Fracture matrix transfer functions have long been recognized as tools in modelling naturally fractured reservoirs. If a significant degree of fracturing is present, models involving single matrix blocks and matrix block distributions become relevant. However, this captures only the largest fracture sets and treats the matrix blocks as homogeneous, though possibly anisotropic. Herein, we produce the steady and transient baseline solutions for depletion for such models. Multiscale models pass below grid scale in… Show more

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Cited by 3 publications
(8 citation statements)
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“…Hazlett and Younis 22 presented a transient baseline solution for depletion of single matrix blocks and effective steady state transport properties for matrix blocks with embedded fractures. Following that work, the solution to the Green’s function for depletion from a matrix block in a formation of thickness h with area 4 ab and directional permeabilities k x and k y into a surrounding constant pressure fracture system is …”
Section: Theorymentioning
confidence: 99%
“…Hazlett and Younis 22 presented a transient baseline solution for depletion of single matrix blocks and effective steady state transport properties for matrix blocks with embedded fractures. Following that work, the solution to the Green’s function for depletion from a matrix block in a formation of thickness h with area 4 ab and directional permeabilities k x and k y into a surrounding constant pressure fracture system is …”
Section: Theorymentioning
confidence: 99%
“…A set of field data (including both geological and engineering parameters) is prepared and used as input in Comsol Multiphysics to investigate the impacts of kerogen pore volume, kerogen permeability, inorganic matrix permeability, fracture permeability, effective stress, and Langmuir parameters on shale gas reservoir production performance. Most simulation approaches first establish a base case model, which is an extract from the field-scale model, upon which sensitivity analysis is performed after verifying model accuracy with the field data or analytical data. , For example, Zhang et al used only the gray portion (a quarter of the entire domain) of the production area to simulate and analyze, because of the symmetry of the production area, as shown in Figure a. Tian et al extended the base case model to a field-scale model by 10 times to quantitatively classify the domain contribution, as shown in Figure b.…”
Section: Storage and Transport Mechanism Of Gas In Shale Reservoirsmentioning
confidence: 99%
“…The porous medium of shale reservoirs is complex because it harbors both the matrix and fracture networks containing phases like gas, oil, and water . The partially connected pores in the porous structure of shales are the important storage and flow zones. , Generally, the pore structure of shale reservoirs consists of the kerogen, inorganic matrix, natural fracture, and hydraulic fracture. It is important to investigate the general structure of shale reservoirs on the basis of their geological, mineralogical, and chemical compositions because such factors affect the structure of the pore network, as well as the flow behavior of the gas from one domain to another domain. The structural properties of shale reservoirs include porosity, pore size distribution, specific surface area, tortuosity, and microstructure reconstruction. Among these parameters, porosity is the most influential since it has a relationship with the pore morphology and the amount of space available for storage, which ultimately influences the transport of gas .…”
Section: Storage and Transport Mechanism Of Gas In Shale Reservoirsmentioning
confidence: 99%
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