Analisis Data Gravitasi Untuk Identifikasi Struktur Bawah Permukaan Daerah Potensi Panas Bumi Cipari

Abstract

Geothermal prospect in Cipari has been shown by spring who has a temperature of about 50°C and is categorized as a low temperature. The presence of spring on Cipari earth's surface is an indication of geothermal structures' existence on the surface and a geothermal system below the surface. Geophysical methods can be used for subsurface structures identification, one of them is the density method with gravity data. This study has an objective to identify the subsurface structures in Cipari geothermal potential area using GGMPlus gravity data. Terrain and Bouguer corrections were used to obtain Complete Bouguer Anomaly (CBA). Separation of regional and residual anomalies using Butterwoth and Bandpass filters. The rock contact boundary was obtained by the FHD method and geological structures such as faults were obtained by the SVD method. FHD and SVD results were used as information for 2D forward modeling. The ABL map shows anomalous contrasts in areas that have rock contacts and geological faults. The high anomaly in the center of the study area indicates the Cipari anticline. Data processing and analysis concluded that the area around the Cipari hot spring has anticline, several rock contacts, and normal fault structures. The fault in the study area is part of the geothermal system which is confirmed by GGMPlus data.

Utilization of Satellite Gravimetric Data to Estimate the Location of the Magma Chamber of Slamet Volcano, Central Java, Indonesia

“…Satellite gravity anomalies data complemented with topographic data are accessed from the GGMplus website: https://bgi.obs-mip.fr/data-products/grids-and-models/modele-global-ggmplus2013/ that is provided by Bureau Gravimetrique International (BGI) as a scientific service of International Association of Geodesy (IAG), International Gravity Field Service (IGFS), and International Union of Geodesy and Geophysics (IUGG) [12] . The data can be accessed according to the boundaries of the study area using the Matlab.…”

“…The satellite gravity anomalies data are extracted from the Global Gravity Model Plus (GGMPlus) data. The GGMPlus data have several advantages, one of which is having the best spatial resolution compared to other satellite gravity anomalies data, such as TOPEX [12] . These data have a spatial distance of 22 The GGMPlus data have several advantages, one of which is having the best spatial resolution compared to other satellite gravity anomalies data, such as TOPEX 0 m [12] and can be utilized for initial mapping of an area to get an overview before taking more specific primary data.…”

“…The GGMPlus data have several advantages, one of which is having the best spatial resolution compared to other satellite gravity anomalies data, such as TOPEX [12] . These data have a spatial distance of 22 The GGMPlus data have several advantages, one of which is having the best spatial resolution compared to other satellite gravity anomalies data, such as TOPEX 0 m [12] and can be utilized for initial mapping of an area to get an overview before taking more specific primary data. Therefore, GGM Plus data have good accuracy in determining indications of subsurface geological structures, including estimating the position of the magma chamber of Slamet Volcano which has a very extreme landscape.…”

3D Visualization of Geothermal System Structure Based on Inversion Model of Gravity Data. Case Study: Mt. Salak Region, West Java

“…This CBA map still contains a mixture of shallow residual anomalies and deep regional anomalies, so to eliminate ambiguity in the interpretation, separation of these anomalies needs to be performed (Figure 5). Separation of regional and residual anomalies using a bandpass filter is used to reduce noise from regional anomalies by passing data that has a wavelength with a certain range [23].…”