SEGJ Technical Conference

Temperature estimation at the Kakkonda geothermal field based on resistivity data using neural kriging

Abstract We examined the accuracy of temperature estimation based on resistivity data using neural kriging. Through the application to the Kakkonda geothermal field, we found that the estimation error decreased as well as the decrease in the error of the variogram. The decrease amount of the estimation error was especially significant at a well location far from teaching data.