Numerical analysis of core-scale methane hydrate dissociation dynamics and multiphase flow in porous media

Chen, Lin; Yamada, Hiroyoshi; Kanda, Yoshiteru; Lacaille, Guillaume; Shoji, Eita; Okajima, Junnosuke; Komiya, Atsuki; Maruyama, Shigenao

doi:10.1016/j.ces.2016.07.035

Cited by 48 publications

(30 citation statements)

References 38 publications

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“…This was attributed to the fact that S H was not uniformly formed in the core before the onset of depressurization, thus leading to discrepancies between the simulated and the measured T in the core. A number of more recent simulation studies [39], [40], [41], [42], [43] that analysed the same set of experiments led to improved matches of measurements and predictions of P, T and of the cumulative gas production (V T ) by implementing representative boundary conditions (i.e., an adiabatic boundary [41], a constant heat flux boundary [39], [43] and a constant T boundary [40], [42]and more reliable constitutive relationships (i.e., a permeability reduction model [43], a relative permeability model [41], and a kinetic rate model [39]. However, despite the improvements, discrepancies (sometimes significant) continued to exist.…”

Section: Site (Location)mentioning

confidence: 99%

Numerical analysis of experimental studies of methane hydrate dissociation induced by depressurization in a sandy porous medium

et al. 2018

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Methane Hydrates (MHs) are a promising energy source abundantly available in nature. Understanding the complex processes of MH formation and dissociation is critical for the development of safe and efficient technologies for energy recovery. Many laboratory and numerical studies have investigated these processes using synthesized MH-bearing sediments. A near-universal issue encountered in these studies is the spatial heterogeneous hydrate distribution in the testing apparatus. In the absence of direct observations (e.g. using X-ray computed tomography) coupled with real time production data, the common assumption made in almost all numerical studies is a homogeneous distribution of the various phases. In an earlier study (Yin et al., 2018) that involved the numerical description of a set of experiments on MH-formation in sandy medium using the excess water method, we showed that spatially heterogeneous phase distribution is inevitable and significant. In the present study, we use as a starting point the results and observations at the end of the MH formation and seek to numerically reproduce the laboratory experiments of depressurizationinduced dissociation of the spatially-heterogeneous MH distribution. This numerical study faithfully reproduces the geometry of the laboratory apparatus, the initial and boundary conditions of the system, and the parameters of the dissociation stimulus, capturing accurately all stages of the experimental process. Using inverse modelling (history-matching) that minimized deviations between the experimental observations and numerical predictions, we determined the values of all the important flow, thermal, and kinetic parameters that control the system behaviour, which yielded simulation results that were in excellent agreement with the measurements of key monitored variables, i.e. pressure, temperature, cumulative production of gas and water over time. We determined that at the onset of depressurization (when the pressure drop-the driving force of dissociationis at its maximum), the rate of MH dissociation approaches that of an equilibrium reaction and is limited by the heat transfer from the system surroundings. As the effect of depressurization declines over time, the dissociation reaction becomes kinetically limited despite significant heat inflows from the boundaries, which lead to localized temperature increases in the reactor.

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Section: Site (Location)mentioning

confidence: 99%

Numerical analysis of experimental studies of methane hydrate dissociation induced by depressurization in a sandy porous medium

et al. 2018

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“…where N H is the hydration number, in this study N H = 5.75, and ΔH is the standard enthalpy of methane hydrate dissociation (Chen et al, 2016). Note that hydrate dissociation is an endothermic process and only occurs at the hydrate particle surface, not within the bulk of the particle (Yang et al, 2016).…”

Section: Basic Physical Modelmentioning

confidence: 97%

Pore‐Scale Investigation of Methane Hydrate Dissociation Using the Lattice Boltzmann Method

Zhang

et al. 2019

Water Resources Research

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Fundamental understanding of pore‐scale methane hydrate dissociation in porous media is important to evaluate submarine slope stability and potential utilization of methane resources. In this paper, a general pore‐scale framework based on the lattice Boltzmann (LB) method is established for reactive transport coupled with nonisothermal multiple physicochemical processes in porous media. The framework combines the gas hydrate dissociation kinetic model, the single‐phase flow LB model, the mass transport LB model, and the conjugate heat transfer LB model. The pore‐scale framework is validated by several benchmark problems and then employed to investigate the endothermic dissociation process of methane hydrate with pore‐filling and grain‐coating habits in porous media. The methane hydrate endothermic dissociation behavior coupled with nonlinear nonisothermal multiple physicochemical processes involving intrinsic dissociation dynamics, gas flow, mass transport, phase change heat transfer, and conjugate heat transfer is well captured by the framework. The phase change of methane hydrate dissociation and pore structure evolution for different pore habits of hydrate are well depicted, and some insights about the dissociation front advancement and temperature distributions are also obtained. In addition, the effects of temperature field, inlet temperature, and inlet pressure on methane hydrate dissociation are investigated. The pore‐scale methane hydrate dissociation helps to advance our understanding of permeability‐saturation variation relation for continuum models.

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“…这一分解动力学方程参考了Kim [14] 以及Clarke和 Boshnoi [15,16] [7,9,10] ; f eq 是平衡温度下的逸度(Pa); f v 是实际气相中甲烷的逸度(Pa). 能量平衡:…”

Section: 海洋可燃冰储层开采数值分析和策略分析unclassified

Oceanic methane hydrate utilization system design and reservoir scale numerical modeling

et al. 2018

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Numerical analysis of core-scale methane hydrate dissociation dynamics and multiphase flow in porous media

Cited by 48 publications

References 38 publications

Numerical analysis of experimental studies of methane hydrate dissociation induced by depressurization in a sandy porous medium

Numerical analysis of experimental studies of methane hydrate dissociation induced by depressurization in a sandy porous medium

Pore‐Scale Investigation of Methane Hydrate Dissociation Using the Lattice Boltzmann Method

Oceanic methane hydrate utilization system design and reservoir scale numerical modeling

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