A Fully Coupled Thermo-Hydro-Mechanical Model For Methane Hydrate Reservoir Simulations

Research progress on methane production from natural gas hydrates

“…Then, based on coupling multiple-phase uid ow, heat transfer and deformation in the hydrate solid, Fang proposed a fully coupled thermo-hydro-mechanical model to predict the complicated changes of NGH reservoirs in the period of gas production. 194 However, how to establish a mathematical model is a crucial issue to further discuss the prediction of gas production from NGH reservoirs. Generally, the development of a mathematical model includes the development of the governing equations, constitutive equations, boundary and initial conditions, and numerical techniques.…”

A Geomechanical Model for Gas Hydrate Bearing Sediments Incorporating High Dilatancy, Temperature, and Rate Effects

“…Several THMC formulations and computer codes have been proposed to model the behavior of MHBS (e.g., [44][45][46][47][48][49][50][51][52][53]). In particular, several constitutive models have been proposed in the last few years to simulate the mechanical behavior of MHBS.…”

Numerical Modeling of Gas Hydrate Recycling in Complex Media: Implications for Gas Migration Through Strongly Anisotropic Layers

“…While FV methods offer a very robust, efficient, and reliable numerical framework for simple geological media, it is notoriously difficult to extend to unstructured meshes, fully anisotropic media, and discontinuous material interfaces. Forms of finite element (FE) (Cheng et al., 2013; Fang, 2010) and finite difference (FD) (Holder & Angert, 1982; Yu et al., 2017) methods are also commonly used for methane hydrate models, but they also face challenges related to phase transitions, local mass conservation, overshoots and undershoots (which further complicate the phase change problem), mesh sizes and local mesh anisotropy, and material interfaces. The discontinuous Galerkin (DG) finite element method generalizes the FE method by omitting continuity constraints, allowing potential jumps through numerical fluxes (Cockburn et al., 2000).…”