Abstract
Organic-rich resource shales play an important role in global natural gas production. However, many uncertainties exist in an engineering analysis of gas transport and production such as the reservoir-scale flow simulation, history-matching, and optimization. In this work, we introduce a new set of governing equations to describe the characteristic features of porous structures of the organic-rich resource shale. We apply multi-scale analysis to mass balance equations, the equation of state (for free gas), and an adsorption isotherm. Using the macroscopic model, we study gas transport in shales, consisting of nanoporous organic material (kerogen) and the inorganic material. We conclude that both gas in-place and gas production rate depend on the amount of kerogen in the shale matrix. Adsorbed-phase transport by the organic pore walls is responsible for the increase in production rate. We investigate both Henry and Langmuir adsorption as well as different values of length scale ratio and diffusion coefficients.
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Adesida, A., Akkutlu, I.Y., Resasco, D.E.: Kerogen pore size distribution of Barnett shale using DFT analysis and Monte Carlo simulations. Paper SPE 147397 presented during the SPE annual technical conference and exhibition held in Denver, Colorado, 30 October–2 November. http://dx.doi.org/10.2118/147397-MS (2011)
Akkutlu, I.Y., Fathi, E.: Multi-scale gas transport in shales with local kerogen heterogeneities. SPE J. 17(4), 1002–1011 (2012)
Allaire, G., Hutridurga, H.: Homogenization of reactive flows in periodic porous media. In: Picart, P., Chapelle, D., Dahan, M. (eds.) Actes du XXe Congrès Français de Mécanique, pp. 2613–2618 (2011)
Ambrose, R.J., Hartman, R.C., Diaz-Campos, M., Akkutlu, I.Y., Sondergeld, C.H.: Shale gas in-place calculations part I - new pore-scale considerations. SPE J. 17(1), 219–229 (2012)
Bakhvalov, N.S., Panasenko G.P.: Homogenization of Processes in Periodic Media. Nauka, Moscow, (1984). English transl. In: Homogenization: Averaging Processes in Periodic Media. Mathematical problems in the Mechanics of Composite Materials. Kluwer Academic, Dordrecht (1989)
Bensoussan, A., Lions, J.L., Papanicolaou, G.: Asymptotic Analysis for Periodic Structures. North-Holland, Amsterdam (1978)
Bustin, R.M., Bustin M.M., Cui, X.: Impact of shale properties on pore structure and storage characteristics. Paper SPE 119892 presented during the SPE shale gas production conference, Fort Worth, Texas, 16–18 (2008)
Choquet, C., Mikelic, A.: Laplace transform approach to the rigorous upscaling of the infinite adsorption rate reactive flow under dominant Peclet number through a pore. Appl. Anal. Int. J. 87(12), 1373–1395 (2008)
Dawson, C.N., van Duijn, C.J., Wheeler, M.F.: Characteristic-Galerkin methods for contaminant transport with nonequilibrium adsorption kinetics. SIAM J. Numer. Anal. 31(4), 982–999 (1994)
Do, D.D., Wang, K.: A new model for the description of adsorption kinetics in heterogeneous activated carbon. Carbon 36(10), 1539–1554 (1998)
Fathi, E., Akkutlu, I.Y.: Matrix heterogeneity effects on gas transport and adsorption in coalbed and shale gas reservoirs. J. Transp. Porous Media 80(2), 281–304 (2009)
Fathi, E., Tinni, A., Akkutlu, I.Y.: Correction to Klinkenberg slip theory for gas flow in nano-capillaries. Int. J. Coal Geol. Spec. Issue Shale 103, 51–59 (2012)
Fathi, E., Akkutlu, I.Y.: Mass transport of adsorbed-phase in stochastic porous medium with fluctuating porosity field and nonlinear gas adsorption kinetics. J. Transp. Porous Media 91(1), 5–33 (2012)
Kacur, J., Malengier, B., Trojakova, E.: Numerical modeling of convection-diffusion-adsorption problems in 1D using dynamical discretization. Chem. Eng. Sci. 65(7), 2301–2309 (2010)
Kang, S.M., Fathi, E., Ambrose, R.J., Akkutlu, I.Y., Sigal, R.: CO2 applications. Carbon dioxide storage capacity of organic-rich shales. SPE J. 16(4), 842–855 (2011)
Loucks, R.G., Reed, R.M., Ruppel, S.C., Jarvie, D.M.: Morphology, genesis, and distribution of nanometer-scale pores in siliceous mudstones of the Mississippian Barnett shale. J. Sediment. Res. 79, 848–861 (2009)
Mikelic, A., Rosier, C.: Rigorous upscaling of the infinite adsorption rate reactive flow under dominant Peclet number through a pore. Ann. Univ. Ferrara. 53(2), 333–359 (2007)
Miller, A.W., Rodriguez, D.R., Honeyman, B.D.: Upscaling sorption/desorption processes in reactive transport models to describe metal/radionuclide transport: a critical review. Environ. Sci. Technol. 44(21), 7996–8007 (2010)
Radu, F.A., Pop, I.S.: Mixed finite element discretization and Newton iteration for a reactive contaminant transport model with nonequilibrium sorption: convergence analysis and error estimates. Comput. Geosci. 15(3), 431–450 (2011)
Rahmani Didar, B., Akkutlu, I.Y.: Pore-size dependence of fluid phase behavior and properties in organic-rich shale reservoirs. SPE-164099, paper prepared for presentation at the SPE international symposium on Oilfield Chemistry held in Woodlands, Texas, USA, 8–10 April (2013)
Raoof, A., Hassanizadeh, S.M., Leijnse, A.: Upscaling transport of adsorbing solutes in porous media: pore-network modeling. Vadose Zone J. 9, 624–636 (2010). doi:10.2136/vzj2010.0026
Sanchez-Palencia, E.: Nonhomogeneous Media and Vibration Theory. Lecture Notes in Physics. Springer, New York (1980)
Skjetne, E., Auriaugh, J.L.: Homogenization of wall-slip gas flow through porous media. Transp. Porous Media 36, 293–306 (1999)
Sondergeld, C.H., Ambrose, R.J., Rai, C.S., Moncrieff, J.: Micro-structural studies of gas shales, paper SPE 131771 presented at the SPE unconventional gas conference, Pittsburg, PA, 23–25 February (2010a)
Sondergeld, C.H., Newsham, K.E., Comisky, J.T., Rice, M.C., Rai, C.S.: Petrophysical considerations in evaluating producing shale gas resources. Paper 131768 presented at the SPE unconventional gas conference, Pittsburgh, PA, 23–25 February (2010b)
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Appendix: The Mathematical Procedure of the Multiscale Analysis
Appendix: The Mathematical Procedure of the Multiscale Analysis
1. We shall begin with the case \(\alpha =1\). The other cases can be studied analogously. We will substitute expansion (10) into Eq. (11) and equate the terms with the same power of \(\varepsilon \):
at \(\varepsilon ^{-2}\) :
where \(b_{ij}^2 \) is defined by (21) (the superscript “2” refers to Case 2).
at \(\varepsilon ^{-1}\) :
at \(\varepsilon ^{0}\) :
where \(a\) is defined by Eq. (12). All equations are equipped with periodic boundary conditions.
It follows that the first term \(C^{(0)}\) in a serial expansion for free gas concentration (10) does not depend on the variable \(\xi \). This follows from the fact, that \(b_{ij}^2\) are components of a positive definite tensor and the gas concentration is a \(\xi \)–periodic function. Thus,
Taking into account (37), from Eq. (35) we have
This last equation has a \(\xi \)-periodic solution \(C^{(1)}\), which can be represented as
where \(N_j^2 \left( {x,\xi ,C^{\left( 0 \right) }} \right) \) are \(\xi \)-periodic functions, so that \(\left\langle {N_j^2 \left( {x,\xi ,C^{\left( 0 \right) }} \right) } \right\rangle _\xi =0\) (\(j=1,2,3\)), and \(Q\left( {x,t} \right) \) is an arbitrary function independent of \(\xi \).
We substitute (39) into expression (38) and get
Consequently, we have
Taking (37) into account, from (36) we obtain
We then average Eq. (40) over a periodic cell. Due to \(\xi \)-periodicity of functions \(C^{{\left( l \right) }} \left( {x,\xi ,t} \right) (l > 0), N_j^2 \left( {x,\xi ,C^{\left( 0 \right) }} \right) \) and \(\frac{\phi \left( {x,\xi } \right) }{\mu }K_{ij} \left( {x,\xi } \right) \), we will get the macroscopic equation in the following form:
where the effective coefficient \(a^{*}\) can be defined from relationship (15). Effective coefficients \(d^{*,2}_{ij} \) can be computed by averaging the solution of the cell problem (20):
2. In a similar way, we can derive the macroscopic Eq. (14) and cell problem (17) for the case of \(\alpha =0\). We again substitute expansion (10) into Eq. (11) and equate the terms with the same power of \(\varepsilon \):
at \(\varepsilon ^{-2}\) :
where \(b_{ij}^1 \) is defined by (18) (the superscript “1” refers to Case 1).
Just as it was done above for the case \(\alpha =1\), we can show that the first term \(C^{(0)}\) in serial expansion (10) does not depend on the variable \(\xi \), and relationship (37) remains true. Taking (37) into account, we have
at \(\varepsilon ^{-1}\) :
at \(\varepsilon ^{0}\) :
where \(a\) is defined by Eq. (12).
Equation (43) has a \(\xi \)-periodic solution \(C^{(1)}\), which can be represented as
where \(N_j^1 \left( {x,\xi ,C^{\left( 0 \right) }} \right) \) are \(\xi \)-periodic functions, so that \(\left\langle {N_j^1 \left( {x,\xi ,C^{\left( 0 \right) }} \right) } \right\rangle _\xi =0\) (\(j=1,2,3\)), and \(Q\left( {x,t} \right) \) is an arbitrary function independent of \(\xi \).
We substitute (45) into expression (43) and get the cell problem (17):
Note that in this case, both filtration and diffusive terms will appear in the cell problem. They will enter into the equation through the relationship (18) for \(b_{ij}^1 \).
We then average Eq. (44) over a periodic cell. Due to \(\xi \)-periodicity of functions \(C^{{\left( l \right) }} \left( {x,\xi ,t} \right) (l > 0), N_j^1 \left( {x,\xi ,C^{\left( 0 \right) }} \right) \) and \(\frac{\phi \left( {x,\xi } \right) }{\mu }K_{ij} \left( {x,\xi } \right) \), we will get the macroscopic equation in the following form:
where the effective coefficient \(a^{*}\) can be defined from relationship (15). Effective coefficients \(d^{*,1}_{ij} \) can be computed by averaging the solution of the cell problem (17):
3. With a view to derive macroscopic equation and cell problem for the case of \(\alpha =-1\), we repeat the procedure of substituting the expansion (10) into Eq. (11) and making equal the terms with the same power of \(\varepsilon \). We obtain the hierarchy of equations, and the first one looks like:
As it previously was done above for cases \(\alpha =0\) and \(\alpha =1\), we can show that \(C^{(0)}\) does not depend on the variable \(\xi \), and relationship (37) holds. Taking (37) into account, the next couple of equations in our hierarchy can be written as
Equation (47) has a \(\xi \)-periodic solution \(C^{(1)}\), which can be represented as
where \(N_j^3 \left( {x,\xi ,C^{\left( 0 \right) }} \right) \) are \(\xi \)-periodic functions, so that \(\left\langle {N_j^3 \left( {x,\xi ,C^{\left( 0 \right) }} \right) } \right\rangle _\xi =0\) (\(j=1,2,3\)), and \(Q\left( {x,t} \right) \) is an arbitrary function independent of \(\xi \).
We substitute (49) into expression (47) and get the cell problem (24):
Note that in this case diffusion term does not appear, and filtration term is the only one that enters into relationship (25) for \(b_{ij}^3 \) and into the cell problem.
We can obtain the homogenized macroscopic Eq. (22) if we substitute (49) into Eq. (48) and average it over the periodic cell. Due to \(\xi \)-periodicity of functions \(C^{{\left( l \right) }} \left( {x,\xi ,t} \right) (l > 0), N_j^3 \left( {x,\xi ,C^{\left( 0 \right) }} \right) \) and \(\frac{\phi \left( {x,\xi } \right) }{\mu }K_{ij} \left( {x,\xi } \right) \), we will get the macroscopic equation in the form:
Where effective coefficients \(d^{*,3}_{ij} \) can be computed by averaging the solution of the cell problem (24) in accordance with the following expression
Note that in this case, homogenized equation is a steady state. That is because of the difference of time scales of diffusion and filtration processes. The case of \(\alpha =-1\) corresponds to a large value of the Péclet number. That means that filtration becomes the crucial mechanism of transport, and, due to high permeability of the medium, it goes so rapidly that solution attains the steady state. However, we need to mention that normally permeability of shales is relatively low (\(10^{-12}--10^{-9}\,\hbox {D}\)). So, the case of \(\alpha =-1\) is more interesting from methodological than from a practical point of view.
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Akkutlu, I.Y., Efendiev, Y. & Savatorova, V. Multi-scale Asymptotic Analysis of Gas Transport in Shale Matrix. Transp Porous Med 107, 235–260 (2015). https://doi.org/10.1007/s11242-014-0435-z
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DOI: https://doi.org/10.1007/s11242-014-0435-z