TY - GEN
T1 - Numerical and experimental analysis of diffusion and sorption kinetics effects in Marcellus shale gas transport
AU - Zhang, Miao
AU - Chakraborty, Nirjhor
AU - Karpyn, Zuleima
AU - Emami-Meybodi, Hamid
AU - Ayala, Luis
N1 - Publisher Copyright:
Copyright 2019, Society of Petroleum Engineers.
PY - 2019
Y1 - 2019
N2 - Nano-scale pores and a dual storage mechanism shared between free and adsorbed gas make the transport behavior in shale gas reservoirs very different from conventional macropore reservoirs. This work explores a straightforward model for the gas transport behavior in shale nanopores, which couples sorption, diffusion, and sorbed-phase surface diffusion phenomena. The model combines two governing equations for free and sorbed gas phase transport processes in nanopores, respectively: a diffusion-based equation for free gas phase transport, and a surface-diffusion equation for the sorbed phase. Mass transfer between the two phases is quantified by kinetic models of sorption. The two governing equations are solved simultaneously using finite element methods (FEM). Model performance is successfully validated by closely matching density propagation profiles of a gas transport experiment obtained by quantitative X-ray computerized tomography (CT) imaging for a Marcellus shale sample. Transport-related parameters estimated from history matching are shown to be consistent with literature data.
AB - Nano-scale pores and a dual storage mechanism shared between free and adsorbed gas make the transport behavior in shale gas reservoirs very different from conventional macropore reservoirs. This work explores a straightforward model for the gas transport behavior in shale nanopores, which couples sorption, diffusion, and sorbed-phase surface diffusion phenomena. The model combines two governing equations for free and sorbed gas phase transport processes in nanopores, respectively: a diffusion-based equation for free gas phase transport, and a surface-diffusion equation for the sorbed phase. Mass transfer between the two phases is quantified by kinetic models of sorption. The two governing equations are solved simultaneously using finite element methods (FEM). Model performance is successfully validated by closely matching density propagation profiles of a gas transport experiment obtained by quantitative X-ray computerized tomography (CT) imaging for a Marcellus shale sample. Transport-related parameters estimated from history matching are shown to be consistent with literature data.
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U2 - 10.2118/193843-ms
DO - 10.2118/193843-ms
M3 - Conference contribution
AN - SCOPUS:85088404233
T3 - Society of Petroleum Engineers - SPE Reservoir Simulation Conference 2019, RSC 2019
BT - Society of Petroleum Engineers - SPE Reservoir Simulation Conference 2019, RSC 2019
PB - Society of Petroleum Engineers
T2 - SPE Reservoir Simulation Conference 2019, RSC 2019
Y2 - 10 April 2019 through 11 April 2019
ER -