A proxy model for determining reservoir pressure and temperature for geothermal wells

2020-11-01
Aydin, Hakki
Akın, Serhat
Senturk, Erdinc
Estimating reservoir pressure and temperature is one of the challenges of geothermal reservoir engineering. A new proxy model has been developed to estimate reservoir pressure and temperature using wellhead pressure, temperature and non-condensable gas (NCG) amount. An exhaustive set of wellhead data covering a range of possible wellhead pressure, temperature and NCG data is used in a calibrated wellbore simulator, which is then used to create a knowledgebase to train an artificial neural network (ANN) model. The developed ANN model tested using numerical simulation model results coupled with a wellbore simulator. It is observed that the ANN model can accurately estimate reservoir pressure and temperature for various production scenarios in liquid phase reservoir.

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Citation Formats
H. Aydin, S. Akın, and E. Senturk, “A proxy model for determining reservoir pressure and temperature for geothermal wells,” Geothermics, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56247.