Abstract
AbstractIn this study, the lineament density extraction and geostatistical modeling are integrated to analyze the correlation between surface lineament and subsurface permeable zone at Patuha geothermal field, West Java, Indonesia. The present work uses digital elevation model (DEM) (spatial resolution: 1 arcsecond or 30.7 m), given oblique irradiation with two directions and the lineament extracted using segment tracing algorithm (STA). Lineament density with grid size 1 × 1 km is generated by applying the ordinary kriging (OK) method. Total lost circulation (TLC) data from some wells are employed to represent the model of subsurface permeable zones where their probability is estimated using indicator kriging (IK) method. The high probability of TLC from IK estimation spatially is correlated to the surface lineament density. The high surface lineament density spatially has correlation with the main local faults, mapped in 2014 and the presence of geothermal manifestations such as crater lakes, fumaroles, and hot springs. The probability values (larger than 0.1) from IK method is vertically projected to the surface. The visual analysis suggests that high lineaments density has spatial correlation with the high probability TLC zones which are assumed as permeable zone and act as fluid path for geothermal reservoir.KeywordsSTAGeostatisticsLineament densityPermeable zonesGeothermal
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