Coupling of multiphysical processes for the simulation of gas wells

Duration

August 1, 2015 -

Management

Prof. Dr. Stefan Hartmann (Institute of Technical Mechanics)

Prof. Dr. Leonhard Ganzer

Description

The overarching project goal is to develop a coupled numerical model capable of describing the hydrodynamic, biogeochemical, thermal, and geomechanical processes in the vicinity of storage wells. To this end, the well—including the cement layer and geological formations (reservoir and cap rocks)—is to be incorporated into a numerical model. This model will be linked to a material model of the casing via a surface coupling. The entire coupled model will then be used to investigate various challenges associated with the storage of hydrogen, carbon dioxide, and gas mixtures. To this end, in a first step, the DuMuX program (Flemisch et al., 2011), which describes the hydraulic and chemical behavior in the subsurface, will be coupled with the unsteady thermomechanics implemented in the TASAFEM program (Hartmann, 2003). Subsequently, i.e., in the third year, a geomechanical model with a pressure-dependent yield surface will be implemented in TASAFEM to obtain a coupled calculation of thermal, geomechanical, hydraulic, and chemical processes during storage and retrieval. The coupling tool must control the time integration and the interpolation of data from one program onto the grid of the other program, as well as include acceleration methods for the Block-Gauss-Seidel iterations. To this end, two techniques will be implemented. Within the time integration, the methods using step-size-controlled, diagonally implicit Runge-Kutta methods are to be extended to different time scales.
This project aims to employ a modern and efficient approach to develop a coupling tool for the present multi-physical, multi-field problem. The goal is also to carry out preliminary work for the drilling simulator currently under development in Celle, so that these methods can then be used in the experimentally oriented research facility there, thereby achieving an integration of experiment, application, theory, and simulation.