Lattice Boltzmann simulation of CO2 transport in kerogen nanopores—An evaluation of CO2 sequestration in organic-rich shales

Sherifa Cudjoe, Reza Barati

Journal of Earth Science ›› 2017, Vol. 28 ›› Issue (5) : 926-932.

Journal of Earth Science ›› 2017, Vol. 28 ›› Issue (5) : 926-932. DOI: 10.1007/s12583-017-0802-0
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Lattice Boltzmann simulation of CO2 transport in kerogen nanopores—An evaluation of CO2 sequestration in organic-rich shales

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Abstract

Organic-rich shale resources remain an important source of hydrocarbons considering their substantial contribution to crude oil and natural gas production around the world. Moreover, as part of mitigating the greenhouse gas effects due to the emissions of carbon dioxide (CO2) gas, organic-rich shales are considered a possible alternate geologic storage. This is due to the adsorptive properties of organic kerogen and clay minerals within the shale matrix. Therefore, this research looks at evaluating the sequestration potential of carbon dioxide (CO2) gas in kerogen nanopores with the use of the lattice Boltzmann method under varying experimental pressures and different pore sizes. Gas flow in micro/nano pores differ in hydrodynamics due to the dominant pore wall effects, as the mean free path (λ) of the gas molecules become comparable to the characteristic length (H) of the pores. In so doing, the traditional computational methods break down beyond the continuum region, and the lattice Boltzmann method (LBM) is employed. The lattice Boltzmann method is a mesoscopic numerical method for fluid system, where a unit of gas particles is assigned a discrete distribution function (f). The particles stream along defined lattice links and collide locally at the lattice sites to conserve mass and momentum. The effects of gas-wall collisions (Knudsen layer effects) is incorporated into the LBM through an effective-relaxation-time model, and the discontinuous velocity at the pore walls is resolved with a slip boundary condition. Above all, the time lag (slip effect) created by CO2 gas molecules due to adsorption and desorption over a time period, and the surface diffusion as a result of the adsorption-gradient are captured by an adsorption isotherm and included in our LBM. Implementing the Langmuir adsorption isotherm at the pore walls for both CO2 gas revealed the underlying flow mechanism for CO2 gas in a typical kerogen nano-pore is dominated by the slip flow regime. Increasing the equilibrium pressure, increases the mass flux due to adsorption. On the other hand, an increase in the nano-pore size caused further increase in the mass flux due to free gas and that due to adsorbed gas. Thus, in the kerogen nano-pores, CO2 gas molecules are more adsorptive indicating a possible multi-layer adsorption. Therefore, this study not only provides a clear understanding of the underlying flow mechanism of CO2 in kerogen nano-pores, but also provides a potential alternative means to mitigate the greenhouse gas effect (GHG) by sequestering CO2 in organic-rich shales.

Keywords

kerogen / nanopores / lattice Boltzmann method / CO2 sequestration / slip flow / Langmuir isotherm

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Sherifa Cudjoe, Reza Barati. Lattice Boltzmann simulation of CO2 transport in kerogen nanopores—An evaluation of CO2 sequestration in organic-rich shales. Journal of Earth Science, 2017, 28(5): 926‒932 https://doi.org/10.1007/s12583-017-0802-0

References

Bao Y., Meskas J. Lattice Boltzmann Method for Fluid Simulations, 2011.
Bhatnagar P. L., Gross E. P., Krook M. A Model for Collision Processes in Gases. I. Small Amplitude Processes in Charged and Neutral One-Component Systems. Physical Review, 1954, 94(3): 511-525.
CrossRef Google scholar
Chapman S. The Mathematical Theory of Non-Uniform Gases. American Journal of Physics, 1962, 30 5 389
CrossRef Google scholar
Chen L., Zhang L., Kang Q. J., . Nanoscale Simulation of Shale Transport Properties Using the Lattice Boltzmann Method: Permeability and Diffusivity. Scientific Reports, 2015, 5 1 8089
CrossRef Google scholar
Chen S., Tian Z. W. Simulation of Thermal Micro-Flow Using Lattice Boltzmann Method with Langmuir Slip Model. International Journal of Heat and Fluid Flow, 2010, 31(2): 227-235.
CrossRef Google scholar
Curtis M. E., Ambrose R. J., Sondergeld C. H. Structural Characterization of Gas Shales on the Micro-and Nano-Scales, 2010
CrossRef Google scholar
EIA Energy Information Administration U.S. Crude Oil Production to 2025: Updated Projection of Crude Types, 2015.
Elgmati M., Zhang H., Bai B., . SPE 144050: Submicron-Pore Characterization of Shale Gas Plays. SPE North American Unconventional Conference and Exhibition, 2011, 1-19.
Fathi E., Akkutlu I. Y. Lattice Boltzmann Method for Simulation of Shale Gas Transport in Kerogen. Proceedings of SPE Annual Technical Conference and Exhibition, 2013, 4(1): 27-37.
Fragoso A., Wang Y., Jing G., . Improving Recovery of Liquids from Shales through Gas Recycling and Dry Gas Injection. Society of Petroleum Engineers, 2015.
Gabbana A. Accelerating the D3Q19 Lattice Boltzmann Model with OpenACC and MPI: [Dissertation], 2015, Umeå: Umeå University
Gamadi T. D., Sheng J. J., Soliman M. Y. An Experimental Study of Cyclic Gas Injection to Improve Shale Oil Recovery, 2013, 1-9.
Green D., Willhite P. Enhanced Oil Recovery, 1988, 4, Texas: Richardson
Guo Z. L., Shi B. C., Zhao T. S., . Discrete Effects on Boundary Conditions for the Lattice Boltzmann Equation in Simulating Microscale Gas Flows. Physical Review E, 2007, 76(5): 3-7.
CrossRef Google scholar
Guo Z., Shu C. Lattice Boltzmann Method and Its applications in engineering. World Scientific Publishing (Vol. 3), 2013, Singapore. https://doi.org/10.1142/8806: World Scientif Publishing Co. Pte. Ltd.
CrossRef Google scholar
Hawthorne S. B., Gorecki C. D., Sorensen J. A., . Hydrocarbon Mobilization Mechanisms Using CO2 in an Unconventional Oil Play. Energy Procedia, 2014, 63: 7717-7723.
CrossRef Google scholar
Kang S. M., Fathi E., Ambrose R. J., . Carbon Dioxide Storage Capacity of Organic-Rich Shales. SPE Journal, 2011, 16(4): 842-855.
CrossRef Google scholar
Li L., Sheng J. J., Xu J. SPE-185066-MS Gas Selection for Huff-n-Puff EOR in Shale Oil Reservoirs Based upon Experimental and Numerical Study, 2017, 1-15.
Mohamad A. A. Lattice Boltzmann Method Fundamentals and Engineering Applications with Computer Codes, 2011, New York: Springer
Nuttall B. C. Analysis of Devonian Black Shales in Kenducky for Potential Carbon Dioxide Sequestration and Enhanced Natural Gas Production, 2005, Kentucky: Lexington
Ren J. J., Guo P., Guo Z. L., . A Lattice Boltzmann Model for Simulating Gas Flow in Kerogen Pores. Transport in Porous Media, 2014, 106(2): 285-301.
CrossRef Google scholar
Sheng J. Maximize Liquid Oil Production from Shale Oil and Gas Condensate Reservoirs Synergy Opportunities, 2016.
Sondergeld C. H., Ambrose R. J., Rai C. S., . Micro-Structural Studies of Gas Shales, 2010
CrossRef Google scholar
Stops D. W. The Mean Free Path of Gas Molecules in the Transition Regime. Journal of Physics D: Applied Physics, 1970, 3(5): 685-696.
CrossRef Google scholar
Sukop M. C., Or D. Lattice Boltzmann Method for Modeling Liquid-Vapor Interface Configurations in Porous Media. Water Resources Research, 2004, 40(1): 1-11.
CrossRef Google scholar
Tsai M. C., Chen W. N., Cen P. L., . Adsorption of Gas Mixture on Activated Carbon. Carbon, 1985, 23(2): 167-173.
CrossRef Google scholar
Wan T. Evaluation of the EOR Potential in Shale Oil Reservoirs by Cyclic Gas Injection. Journal of Chemical Information and Modeling, 2013, 53(9): 1689-1699.
Wan T., Sheng J. J. Evaluation of the EOR Potential in Hydraulically Fractured Shale Oil Reservoirs by Cyclic Gas Injection. Petroleum Science and Technology, 2015, 33(7): 812-818.
CrossRef Google scholar
Wolf-Gladrow D. A. Lattice-Gas Cellular Automata and Lattice Boltzmann Models—An Introduction, 2005, Bremerhaven. https://doi.org/978-3-540-66973-9: Springer
Yu Y., Li L., Sheng J. J. SPE-181471-MS Further Discuss the Roles of Soaking Time and Pressure Depletion Rate in Gas Huff-n-Puff Process in Fractured Liquid-Rich Shale Reservoirs, April 2015, UAE: Society of Petroleum Engineers, Dubai, 2016, 1-17.
Zhang X. L., Xiao L. Z., Shan X. W., . Lattice Boltzmann Simulation of Shale Gas Transport in Organic Nano-Pores. Scientific Reports, 2014, 4 1 4843
CrossRef Google scholar
Zuloaga-Molero P., Yu W., Xu Y. F., . Simulation Study of CO2-EOR in Tight Oil Reservoirs with Complex Fracture Geometries. Scientific Reports, 2016, 6 1 33445
CrossRef Google scholar

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