V. L. Teja-Juárez, J. A. Torres-López, R. M. Mariscal-Romero, R. G. Camacho-Velázquez, A. P. Gómora-Figueroa, D. E. Solano-Rojas
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Both pseudo steady-state and unsteady-state transfer functions can be invoked with different shape factor and we use the logarithmic spaced, local grid refinement methodology to consider the hydraulic fracturing effects that occur near well at minimal computational cost. The simulator was tested on homogeneous, discretely segmented, and fully heterogeneous synthetic reservoirs under constant rate and constant pressure production. In every case, the unsteady-state option reproduced the characteristic early-time pressure transients and matrix-fracture flow that the classical Warren–Root’s model with the pseudo-transitory transfer function may not capture. Compared with a published hybrid numerical–analytical workflow for same shape factor, the new implementation is faster than twelve times, while presenting good pressure behavior and maintaining numerical precision. Because the transfer function remains analytical, computational effort scales only with fracture count and not with matrix grid density, making the approach well suited to large, heterogeneous unconventional plays as well as geothermal and subsurface storage applications. The tests confirm that the method achieves the desired balance between physical fidelity and computational efficiency, providing a robust tool for transient flow analysis and production-strategy optimization in fractured reservoirs.</p></div>","PeriodicalId":804,"journal":{"name":"Transport in Porous Media","volume":"152 9","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11242-025-02203-2.pdf","citationCount":"0","resultStr":"{\"title\":\"A Semi-Analytical Model to Simulate Fluid Flow in Fractured Reservoirs\",\"authors\":\"V. L. Teja-Juárez, J. A. 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Both pseudo steady-state and unsteady-state transfer functions can be invoked with different shape factor and we use the logarithmic spaced, local grid refinement methodology to consider the hydraulic fracturing effects that occur near well at minimal computational cost. The simulator was tested on homogeneous, discretely segmented, and fully heterogeneous synthetic reservoirs under constant rate and constant pressure production. In every case, the unsteady-state option reproduced the characteristic early-time pressure transients and matrix-fracture flow that the classical Warren–Root’s model with the pseudo-transitory transfer function may not capture. Compared with a published hybrid numerical–analytical workflow for same shape factor, the new implementation is faster than twelve times, while presenting good pressure behavior and maintaining numerical precision. 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A Semi-Analytical Model to Simulate Fluid Flow in Fractured Reservoirs
A semi-analytical simulator has been developed to describe single-phase gas flow in hydraulically fractured wells hosted by naturally fractured rock. The governing formulation embeds Streltsova’s unsteady-state matrix-transfer function to fracture directly in a dual-porosity finite difference framework and advances the solution with an implicit–explicit scheme. This strategy preserves the analytical description of transient exchange, while avoiding the convolution integrals and tight time-step controls that burden fully numerical unsteady-state models. Both pseudo steady-state and unsteady-state transfer functions can be invoked with different shape factor and we use the logarithmic spaced, local grid refinement methodology to consider the hydraulic fracturing effects that occur near well at minimal computational cost. The simulator was tested on homogeneous, discretely segmented, and fully heterogeneous synthetic reservoirs under constant rate and constant pressure production. In every case, the unsteady-state option reproduced the characteristic early-time pressure transients and matrix-fracture flow that the classical Warren–Root’s model with the pseudo-transitory transfer function may not capture. Compared with a published hybrid numerical–analytical workflow for same shape factor, the new implementation is faster than twelve times, while presenting good pressure behavior and maintaining numerical precision. Because the transfer function remains analytical, computational effort scales only with fracture count and not with matrix grid density, making the approach well suited to large, heterogeneous unconventional plays as well as geothermal and subsurface storage applications. The tests confirm that the method achieves the desired balance between physical fidelity and computational efficiency, providing a robust tool for transient flow analysis and production-strategy optimization in fractured reservoirs.
期刊介绍:
-Publishes original research on physical, chemical, and biological aspects of transport in porous media-
Papers on porous media research may originate in various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering)-
Emphasizes theory, (numerical) modelling, laboratory work, and non-routine applications-
Publishes work of a fundamental nature, of interest to a wide readership, that provides novel insight into porous media processes-
Expanded in 2007 from 12 to 15 issues per year.
Transport in Porous Media publishes original research on physical and chemical aspects of transport phenomena in rigid and deformable porous media. These phenomena, occurring in single and multiphase flow in porous domains, can be governed by extensive quantities such as mass of a fluid phase, mass of component of a phase, momentum, or energy. Moreover, porous medium deformations can be induced by the transport phenomena, by chemical and electro-chemical activities such as swelling, or by external loading through forces and displacements. These porous media phenomena may be studied by researchers from various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering).