| Title | Development of a Neural Network System for Geothermal Resource Assessment |
|---|---|
| Authors | Nohoru Yasuda, Toshihiko Shinohara, Wataru Shiraki, Norio Ito and Kenzo Baba |
| Year | 1995 |
| Conference | World Geothermal Congress |
| Keywords | neural network, geothermal resource assessment, sensitivity analysis, surface survey, underground temperature, drilled well |
| Abstract | To evaluate geothermal resource we developed a neural network system that estimates the underground temperature from surface surveys data. This system showed that neural networks can be utilized fully for geothermal resource assessment, using appropriate processing and selection of input and output data. Furthermore, the sensitivity analysis was performs using this proposed system. The influence of some of ground surface survey items on the underground temperature is examined. |