Title: |
Numerical Studies of Combined Shallow and Deep Geothermal Systems |
Authors: |
Patrick JENNY, Dimitrios KARVOUNIS |
Key Words: |
EGS, efficiency, production phase, optimization |
Conference: |
Stanford Geothermal Workshop |
Year: |
2014 |
Session: |
Enhanced Geothermal Systems |
Language: |
English |
Paper Number: |
Jenny |
File Size: |
1829 KB |
View File: |
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Currently, EGS technologies suffer from increased development costs during periods when the financial risk is very high, mostly due to uncertainties regarding thermal and more importantly electrical power revenues. Optimization of the EGS working cycles can improve electrical energy production and thus promote EGS projects. For such optimizations, difficult inverse problems have to be solved to obtain parameter sets for maximum profits. These approaches require fast yet accurate forward models that can properly account for those parameter variations. Here, a 1D model is devised that can be used for quick estimates of the EGS production temperatures. It is designed for fast calculations of the production temperature in highly fractured reservoirs. It allows to compute different solution families and is controlled by few model parameters. When these parameters are calibrated with a 3D EGS model, this 1D model can accurately predict the production phase for a wide range of scenarios; the results proofed to be in good agreement with those obtained from much more expensive 3D simulations. Temporal flow variations are not considered at this point; i.e. chemical, mechanical, and hydrological phenomena are not captured by the suggested 1D model. Together with the 1D model validation studies are presented. Then it is used for numerical optimization studies of combined shallow and deep geothermal reservoirs, and it is shown the relative cost can significantly be reduced with such combined systems.
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