Remote Sensing Technology for Mapping Area of Interest (AoI) in Electro Magnetic Survey Design in KMS Geothermal Field

Authors

  • Kms Novranza Masters Programs in Physics - Geothermal Exploration Section, Departement of Physics, Faculty of Mathematics and Science, Universitas Indonesia, Jakarta, Indonesia
  • Dian Cahyaningrum Pemerintah Kabupaten Kepahiang Dinas Energi dan Sumber Daya Mineral Provinsi Bengkulu Dinas Pendidikan dan Kebudayaan Provinsi Bengkulu Balai Penelitian Teknologi Perbenihan Tanaman Hutan Bogor

Keywords:

AoI, ElectroMagnetic, Geophysics, Geothermal, Remote Sensing

Abstract

Indonesia is a country with the largest geothermal energy resources in the world. To develop and utilize geothermal energy until produce electricity is needed exploration survey. The exploration survey must be focused on Area of Interest (AoI). Electro magnetic is one methode that can be used to delineate subsurface condition of geothermal system. Remote sensing can contribute to icrease survey’s effectiveness and efficiencies in geothermal exploration. KMS is an area that interpreted as geothermal potential area in Sumatera with appearance surface manifestations such as fumarole, steaming ground, hot lake, hot steam and rock alteration. This research used free Landsat 8 OLI imagery, downloaded from www.earthexplorer.usgs.gov. The result found geological structure in research area interpretated as vulcanic body. The appearance of several surface manifestations are correlated to the lineaments. The result also showed that the main direction of the lineaments developed in KMS geothermal field are Northwest-Southeast and North-South. AoI of electro magnetic survey design is located arround vulcanic body of KMS geothermal field.

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References

Manfred, P. H and Patrick, R.L. 2001. Surface Manifestations of Geothermal Systems with Volcanic Heat Sources. Geothermal Institute: The University of Aucland.

Martasari, RD. 2015. Optimizing Remote Sensing Data for Guiding Geothermal Exploration. Jakarta: Indonesia International Geothermal Convention & Exhibition 2015.

Yuhendra, H. K. dan Sumatyo, J. T. 2010. Performance Analyzing of High Resolution Pan-sharpening Techniques: Increasing Image Quality for Classification using Supervised Kernel Support Vector Machine. Res, J. Inf. Technol. 3, 12-23.

USGS. 2016. Landsat-8 OLI/TIRS and Aster DEM.

PSDG. 2015. Potensi Panasbumi di WKP KMS.

Published

2018-01-18

How to Cite

[1]
K. Novranza and D. Cahyaningrum, “Remote Sensing Technology for Mapping Area of Interest (AoI) in Electro Magnetic Survey Design in KMS Geothermal Field”, SENTER, pp. 13-19, Jan. 2018.