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Titel A Realistic Gas Transport Model with application to Determining Shale Rock Characteristics
VerfasserIn Iftikhar Ali, Nadeem Malik
Konferenz EGU General Assembly 2017
Medientyp Artikel
Sprache en
Digitales Dokument PDF
Erschienen In: GRA - Volume 19 (2017)
Datensatznummer 250143050
Publikation (Nr.) Volltext-Dokument vorhandenEGU/EGU2017-6739.pdf
 
Zusammenfassung
A nonlinear transport model with pressure-dependent parameters for the flow of shale gas in tight porous media, accounting for important physical processes such as continuous flow, transition flow, slip flow, Knudsen diffusion, surface diffusion, adsorption and desorption in to the rock material, and also including a nonlinear Forchheimer correction term for high flow rates (turbulence), has been developed [1,2]. The transport model is an advection-diffusion type of partial differential equation with pressure dependent model parameters and associated compressibility coefficients, and with nonlinear pressure-dependent apparent convective velocity $U(p,p_x)$ and apparent diffusivity $D(p)$ where $p$ is the pressure field. The transient one-dimensional model without gravity and without external source is, \begin{equation} \frac{\partial p}{\partial t}+U\frac{\partial p}{\partial x} &=& D\frac{\partial^2 p}{\partial x^2} \end{equation} where, \begin{equation} D &=& \frac{\rho}{\mu} \frac{FK_a}{\rho\phi\zeta_1 +(1-\phi)\zeta_2} \end{equation} \begin{equation} U &=& -D\zeta_3\frac{\partial p}{\partial x} \end{equation} and, $\rho$ is the fluid density, $\mu$ is the fluid viscosity, $K_a$ is the apparent rock permeability, $\phi$ is the rock porosity, and $\zeta_1(p),\ \zeta_2(p),\ \zeta_3(p)$ are various pressure dependent compressibility factors, and $F$ is a factor incorporating the effects of high flow rates -- see [1, 2] for details. The steady-state 1D model was used to determine the shale rock charcateristics by history matching the pressure distribution across a shale rock core sample obtained from pressure-pulse decay tests for different inflow pressure conditions [3]. The best results were obtained when the high flow rate Forchheimer correction term is included in the model; the estimates for the porosity and permeability are then much more realistic than previous models [4], which is a notable achievement. In the case considered, the porosity was determined to lie in the range, $0.1