| Title | Optimization of Production and Injection of Geothermal Fields: A Machine Learning Approach |
|---|---|
| Authors | Ali BASER, Serhat KUCUK, Onder SARACOGLU, Erdinc SENTURK, Serhat AKIN |
| Year | 2020 |
| Conference | World Geothermal Congress |
| Keywords | optimization, proxy, tough2, machine learning, Kizildere |
| Abstract | Optimizing field injection and production requires a numerical model, typically consist of thousands of grid blocks. Optimization carried out using such a model usually takes a very long time. If the numerical model is replaced by accurate proxy model, run-time can be significantly reduced. A numerical model has been developed using Tough2 to optimize the production of Kizildere geothermal field. A proxy model developed in python is used to optimize the production and injection rates of the field. Proxy model results are consistent with Tough2 numeric model. This approach significantly reduces time and effort. |