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%0 Thesis
%A Vogt, Christian
%T Optimization of geothermal energy reservoir modeling using advanced numerical tools for stochastic parameter estimation and quantifying uncertainties
%V 13
%C Aachen
%I E.ON Energy Research Center, RWTH Aachen University
%M RWTH-CONV-143697
%B E.On Energy Research Center : GGE - Applied geophysics and geothermal energy
%P III, 145 S. : Ill., graph. Darst., Kt.
%D 2013
%Z Zsfassung in dt. und engl. Sprache
%Z Zugl.: Aachen, Techn. Hochsch., Diss., 2013
%X Geothermal energy is an option for low carbon production of heat or electric energy. For further developments of this resource, a major obstacle is the risk of project failure due to uncertain estimates of flow rate and temperature (and, hence, produced power) of geothermal installations. In this work, I develop and apply stochastic methods and modeling strategies for predicting the variation of pressure, temperature, and their uncertainty with time within geothermal reservoirs based on observed thermal and hydraulic rock property distributions. This comprises stochastic forward and inverse modeling approaches for simulating heat and tracer transport as well as fluid flow numerically. The approaches reduce the corresponding a priori uncertainties of perturbed parameters and states drastically by 50
%K Geothermische Energie (SWD)
%K Unsicherheit (SWD)
%K Modellierung (SWD)
%K Kalman-Filter (SWD)
%F PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
%9 Dissertation / PhD ThesisBook
%U https://publications.rwth-aachen.de/record/211527