Deep dry rock geothermal resources provide an excellent source of low-carbon sustainable energy. However, a high level of capital investments in such projects often makes them low profitable. One of the large parts of the capital cost is related to the drilling of the wells and their completion. Using a single well closed loop concept can significantly reduce the capital cost and makes the geothermal applications more profitable and attractive for investors. In this project, we design a numerical framework for predictive simulation and monitoring of single closed loop wells based on the general multi-segment well model. Our simulation model is based on the general unstructured grid framework in which the wells are segmented similar to finite-volume discretization of reservoir. Total velocity serves as an additional nonlinear unknown and it is constrained with the momentum equation. Moreover, transforming nonlinear governing equations for both reservoir and well into operator form benefits from operator-based linearization (OBL) techniques and reduce further the computational cost related to simulation. This framework was tested for several complex physical kernels including thermal compositional multiphase reactive flow and transport. The proposed model was validated using a comparison with analytic and numerical results.

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