Using ASTER Satellite Data for Mapping Hydrothermal Alteration as a Tool in Geothermal Exploration with GPS Field Validation

2018 ◽  
Vol 24 (6) ◽  
pp. 4489-4495 ◽  
Author(s):  
Aliyu Ja’afar Abubakar ◽  
Mazlan Hashim ◽  
Amin Beiranvand Pour
Author(s):  
Fiorenza Deon ◽  
Caroline Lievens ◽  
Auke Barnhoorn ◽  
Chiel Welink ◽  
Tulus Imaro ◽  
...  

2016 ◽  
Vol 17 (2) ◽  
pp. 47
Author(s):  
Muhamad Djazim Syaifullah ◽  
Satyo Nuryanto

IntisariTulisan ini menyajikan pemanfaatan data satelit GMS (Geostationary Meteorological Satellites) multi kanal untuk informasi perawanan dalam rangka mendukung kegiatan teknologi modifikasi cuaca. Pemanfaatan data satelit meliputi proses pengunduhan data, proses kalibrasi dan visualisasi citra satelit sehingga dapat diinterpretasi. Pemrosesan data satelit juga meliputi jenis dan tipe awan serta ukuran butir awan. Dengan diketahuinya tipe dan jenis awan maka pemilihan target awan dalam pelaksanaan Teknologi Modifikasi Cuaca (TMC) dapat lebih efektif. Data Satelit GMS yang berupa data PGM untuk berbagai kanal telah dimanfaatkan untuk analisis cuaca dan mendukung pelaksanaan kegiatan Teknologi Modifikasi Cuaca (TMC). Dari analisis beberapa kanal Infra Merah (IR) dapat diperoleh tipe/jenis awan dan ukuran butiran awan yang sangat bermanfaat untuk kepentingan Teknologi Modifikasi Cuaca. Diperlukan pengelolaan data yang lebih intensif baik manajemen data maupun kontinuitas pengunduhan data untuk menjamin kelancaran analisis. Selain itu juga diperlukan validasi lapangan misalnya dengan data radar analisis menjadi semakin akurat.  AbstractThis paper presents the utilization of GMS (Geostationary Meteorological Satellites) multichannel satellite data for cloud cover information in order to support the activities of weather modification technology or cloud seeding. These utilizations covering the process of data downloading, process calibration and visualization of satellite imagery so that it can be interpreted. Processing of satellite data also includes the type of cloud as well as cloud grain size. By knowing the type of cloud, the cloud target selection in the execution of Weather Modification Technology can be more effective. From the analysis of several Infrared (IR) channels can be obtained type/kind of cloud and grain size of the clouds that are beneficial to the interests of cloud seeding. It is required a more intensive data management and continuity of data download. It is also necessary field validation for example with radar data. The purpose of data management was the data processing became more efficient. 


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Peter Pratistha Utama

Patuha geothermal field is one of the geothermal fields in West Java.  Developed by PT Geo Dipa Energi (Persero) since 2014, the geothermal field produced electricity, with installed capacity amounted to 55 MWe. Patuha geothermal system is vapour-dominated system. The geothermal manifestations are located at approximately 2,100 m asl. The Patuha field consists of three main upflow zones, namely Kawah Putih, Kawah Ciwidey, and Kawah Cibuni. This study analyzed the drill cuttings from 3 wells as the primary data with total depths ranging from 1,581 to 2,166 m with the well’s highest stable temperatures measured of ±230°C. The three wells selected for this research—PPL 02, PPL 04, and PPL 07—were analyzed to describe the rock properties and estimate the prospect areas of present-day geothermal exploration in Patuha. The objective of this paper is to develop a better understanding of the subsurface geology and its correlation to the dynamic processes (i.e., hydrothermal alteration) in Patuha geothermal field. The hydrothermal minerals are formed by near-neutral pH fluids and are characterized by quartz, calcite, clays (smectite, illite, chlorite), wairakite, epidote, and actinolite. The existence of acidic fluids is evident by the formation of acidic hydrothermal minerals e.g., anhydrite at various depth of the studied wells, particularly at PPL 07 which is located around Sugihmukti-Urug area. Moreover, the previous studies by Reyes (1990), Layman and Soemarinda (2003), Rachmawati et al. (2016), Elfina (2017) on hydrothermal minerals, geothermal manifestation characteristics, fluid geochemistry, and conceptual model are adapted to improve the analysis and interpretation of this paper.


Author(s):  
A. J. Abubakar ◽  
M. Hashim ◽  
A. B. Pour ◽  
K. Shehu

Abstract. The focus of this paper is to comparatively evaluate the performance of ASTER and Hyperion data for target detection of hydrothermal alteration zones associated with geothermal (GT) springs in an unexplored savannah region. The study employed the partial subpixel unmixing Mixture Tuned Match Filtering algorithm for spectral information extraction using the multispectral and hyperspectral satellite data. In both cases, image endmember spectra specifically for kaolinite, alunite, and illite and calcite zones were selected and extracted by using the Analytical Imaging and Geophysics (AIG)-developed processing methods. The results show that the Hyperion, despite its distortions, can effectively discriminate associated alteration zones better than ASTER. Consequently, Hyperspectral data and analysis are thus recommended for use in similar unexplored regions for GT resource detection and monitoring.


2018 ◽  
Vol 9 (3) ◽  
pp. 237-262 ◽  
Author(s):  
Reyhaneh Ahmadirouhani ◽  
Mohammad-Hassan Karimpour ◽  
Behnam Rahimi ◽  
Azadeh Malekzadeh-Shafaroudi ◽  
Amin Beiranvand Pour ◽  
...  

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