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

Date

2020-11-01

Author

Aydin, Hakki
Akın, Serhat
Senturk, Erdinc

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Geotechnical Engineering and Engineering Geology, Renewable Energy, Sustainability and the Environment, Geology, Alaşehir field, Wellbore simulation, Geothermal energy, Artificial neural network, Proxy model, Non condensable gases

URI

https://hdl.handle.net/11511/56247

Collections

Department of Petroleum and Natural Gas Engineering, Article