Production performance analysis for composite shale gas reservoir considering multiple transport mechanisms

Xu, Jianchun; Guo, Chaohua; Wei, Mingzhen; Jiang, Rui

doi:10.1016/j.jngse.2015.05.033

Cited by 70 publications

(39 citation statements)

References 48 publications

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“…From the nanoscale matrix to the hydraulic fractures whose width is several millimeters, shale gas experiences many different spatial scales during its flow in the reservoir (Sheng et al 2012;Guo et al 2015). According to different spatial scales, the flow of gas in the shale formation will result in many different mechanisms (Jiang and Wang 2014;Xu et al 2015).…”

Section: Introductionmentioning

confidence: 99%

“…According to different spatial scales, the flow of gas in the shale formation will result in many different mechanisms (Jiang and Wang 2014;Xu et al 2015). As the natural fractures and the hydraulic fractures present a big difference in terms of fracture conductivity and connectivity, it is more realistic to assume fractures having different properties (Hassan and Wattenbarger 2011).…”

Section: Introductionmentioning

confidence: 99%

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Production forecast of fractured shale gas reservoir considering multi-scale gas flow

Zhang

Jiang

2016

J Petrol Explor Prod Technol

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The shale gas experiences many different spatial scales during its flow in the reservoir, which will engender different flow mechanisms. In order to accurately simulate the production performance of shale gas well, it is essential to establish a multi-continuum model for shale gas reservoir. Based on the geometrical scenario of multistage horizontal well fracturing, this paper builds up a triplecontinuum model incorporating three systems: matrix with extremely low permeability, less permeable natural fractures and highly permeable hydraulic fractures. This numerical model employs Langmuir adsorption equation to present the influence of desorption gas in matrix and considers the Klinkenberg effect in matrix and natural fractures by adjusting the apparent permeability. The solution of this model is achieved using implicit scheme. Eventually, this model is applied on the single well production situation in a synthetic reservoir, production decline curves and cumulative production curves are obtained, then the sensitivity analysis is made on various kinds of parameters; thus, the influences of these parameters on production rate are obtained: The gas rate will rise with the increase in hydraulic fracture half-length, meshing size, Langmuir volume and Langmuir pressure, but with the decrease in hydraulic fracture spacing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Production forecast of fractured shale gas reservoir considering multi-scale gas flow

Zhang

Jiang

2016

J Petrol Explor Prod Technol

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“…The shale-gas reservoir is divided into SRV and USRV. SRV, interconnected by the fracture network, can be simulated by a dualporosity-medium model, and USRV, which has not been stimulated by fracturing, can be simulated by a single-porosity-medium model (Zeng et al 2015). According to some previous studies (Mayerhofer et al 2010;Xu et al 2015;Idorenyin and Shirif 2017), the interface between SRV and USRV is usually arbitrarily shaped in reservoirs with the MFHW.…”

Section: Physical Modelmentioning

confidence: 99%

“…The MFHW has been proved as an efficient technology for enhancing the production and recovery of tight gas/oil reservoirs in the US (Xu et al 2015). Hydraulic fracturing not only creates several high-conductivity hydraulic fractures, but also generates an interconnected large fracture network (Warpinski et al 2009;Clarkson 2013;Xu et al 2015;Zeng et al 2015). The volumetric extent of the reservoir that contains hydraulic fractures and a moderate-conductivity fracture network is defined as the SRV (Mayerhofer et al 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Previously, various analytical and semianalytical methods have been applied to study the pressure/production performance of the MFHW in composite reservoirs. The common methods, including Green's function, line-source solution, and integral transformation, can solve efficiently the production/pressure solutions of the MFHW in models with circular boundaries (Wang 2014;Xu et al 2015;Zeng et al 2015) and the models with rectangular boundaries (Zerzar and Bettam 2003;Zerzar et al 2004). Because the fluid-flow period of most reservoirs with MFHWs is concentrated mainly on the linear-flow period, many researchers presented linear models that are used to describe the linear-flow period of the MFHW in tight gas/oil reservoirs with regular boundaries (Ozkan et al 2011;Nobakht and Clarkson 2012;Xu et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method

Ding

et al. 2018

SPE Reservoir Evaluation &Amp; Engineering

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A shale-gas reservoir with a multiple-fractured horizontal well (MFHW) is divided into two regions: The inner region is defined as stimulated reservoir volume (SRV), which is interconnected by the fracture network after fracturing, while the outer region is called unstimulated reservoir volume (USRV), which has not been stimulated by fracturing. Considering an arbitrary interface boundary between SRV and USRV, a composite model is presented for MFHWs in shale-gas reservoirs, which is based on multiple flow mechanisms, including adsorption/desorption, viscous flow, diffusive flow, and stress sensitivity of natural fractures. The boundary-element method (BEM) is applied to solve the production of MFHWs in shale-gas reservoirs. The accuracy of this model is validated by comparing its production solution with the result derived from an analytical method and the reservoir simulator. Furthermore, the practicability of this model is validated by matching the production history of the MFHW in a shale-gas reservoir. The result shows that the model in this work is reliable and practicable. The effects of relevant parameters on production curves are analyzed, including Langmuir volume, Langmuir pressure, hydraulic-fracture width, hydraulic-fracture permeability, natural-fracture permeability, matrix permeability, diffusion coefficient, stress-sensitivity coefficient, and the shape of the SRV. The model presented here can be used for production analysis for shale-gas-reservoir development. Recently, three kinds of numerical methods including the finite-element method (FEM) (Fan et al. 2015), the finite-difference method (FDM) (Moinfar et al. 2013), and the BEM (Kikani and Horne 1992; Zhao et al. 2016; Idorenyin and Shirif 2017) have been used to solve the production/pressure solution of the MFHW in composite reservoirs. The BEM, which is based on the fundamental solution that derives from Green's function and satisfies the governing equation, is effective in solving the production/pressure of the well in complex-boundary reservoirs (Cheng 2003). In comparison with the FEM and the FDM, the BEM can solve more efficiently the production/pressure performance of the MFHW in composite reservoirs with irregular boundaries. The reason is that the BEM needs only to discretize the boundaries into a small number of boundary elements, and solve the production/pressure solution of the boundary elements, but FEM and FDM need to divide the reservoir into numerous grids and perform an extensive calculation to solve the pressure of all grids at each timestep. The BEM has been successfully used to analyze the production/pressure performance of vertical wells, horizontal wells, verticalfractured wells, and MFHWs in reservoirs with arbitrary boundaries (Kikani and Horne 1992; Sato and Horne 1993a,b; Wang and Zhang 2009; Zhao et al. 2016). Zhao et al. (2016) used the BEM to analyze the pressure transient of MFHWs in tight gas reservoirs with an arbitrary outer boundary, and the solutions fit well with the solutions derived from the semianalytica...

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Flow Mechanism and Transient Pressure Analysis of Multi-Stage Fractured Horizontal Well

Wang

Zhang

et al. 2022

Chem Technol Fuels Oils

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Production performance analysis for composite shale gas reservoir considering multiple transport mechanisms

Cited by 70 publications

References 48 publications

Production forecast of fractured shale gas reservoir considering multi-scale gas flow

Production forecast of fractured shale gas reservoir considering multi-scale gas flow

Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method

Flow Mechanism and Transient Pressure Analysis of Multi-Stage Fractured Horizontal Well

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