The Application of a Probability Graph in Geothermal Exploration

Abstract

Like other geoscience surveys, the application of geochemistry in a geothermal survey involves a lot of data, so statistical methods are needed to solve it. One way to process data is the use of a Probability Graph, which basically divides the data into sub-populations. Each population represents a geological event, and commonly used approaches such as threshold value, background value, and average value are employed to define the anomaly value.
The advantage of this method is the ability to divide or filter a group of data into some sub-population which has a threshold value. If it is plotted on a map, it will show the area with different values between each other and make it possible to make a better interpretation.
This method is applied here to processing the geochemistry data (i.e. concentration of Hg and CO2) in soil of Jaboi Geothermal Prospect, Nangroe Aceh Darussalam, Indonesia.