Pemodelan Inversi 3D Data Gravity Untuk Identifikasi Sistem Panas Bumi Arjuno-Welirang

Solihah, Narita Oktaviani (2023) Pemodelan Inversi 3D Data Gravity Untuk Identifikasi Sistem Panas Bumi Arjuno-Welirang. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Metode gravity merupakan salah satu metode geofisika yang dapat digunakan untuk mengetahui pola sebaran panas bumi. Wilayah yang dijadikan target penelitian ini adalah komplek Gunung Arjuno-Welirang. Diperoleh sebanyak 257 titik pengukuran yang tersebar di seluruh daerah penelitian. Data tersebut selanjutnya diolah untuk mendapatkan anomali Bouguer yang kemudian dipisahkan menggunakan filter butterworth dan filter moving average sehingga diperoleh anomali regional dan residual. Anomali Regional digunakan sebagai input pemodelan inversi 3D. Hasil inversi 3D memperlihatkan bahwa sistem panas bumi di Arjuno Welirang memiliki pola yang melengkung yang memiliki 3 lapisan terlihat yaitu lapisan atas berupa top soil, kemudian di bawahnya terdapat lapisan caprock yang didominasi oleh batuan andesit-basaltis dengan rata-rata densitas sebesar 2.5-3.0 g/cm3. Lapisan caprock terlihat mengelilingi lapisan yang diduga sebagai daerah reservoir. Lapisan reservoir terdiri atas batuan breksi, aliran piroklastik dan lava dasitik dengan rata-rata densitas sebesar 1.9-2.3 g/cm3. Sedangkan lapisan sumber panas belum terlihat tanda-tanda keberadaannya sehingga diperkirakan berada pada kedalaman >6km di bawah permukaan. Perbedaan hasil inversi 3D pada data regional hasil filter butterworth dan filter moving average adalah nilai model RMS hasil inversi 3D data regional hasil filter butterworth lebih baik dari data regional hasil filter moving average. Yaitu 0,07% untuk data anomali regional variasi filter butterworth dan 0,093% untuk data anomali regional variasi filter moving average.
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The gravity method is one of the geophysical methods that can be used to determine geothermal distribution patterns. The area that is the target of this research is the Mount Arjuno-Welirang complex. Obtained as many as 257 measurement points scattered throughout the study area. The data is then processed to obtain Bouguer anomaly which is then separated using a butterworth filter and a moving average filter to obtain regional and residual anomalies. Regional Anomalies are used as input for 3D inversion modeling. The 3D inversion results show that the geothermal system at Arjuno Welirang has a curved pattern which has 3 visible layers, namely the top layer in the form of top soil, then below it there is a caprock layer which is dominated by andesite-basaltic rocks with an average density of 2.5-3.0 g /cm3. The caprock layer is seen surrounding the layer that is suspected as a reservoir area. The reservoir layer consists of breccias, pyroclastic flows and dacitic lava with an average density of 1.9-2.3 g/cm3. While the heat source layer has not seen signs of its existence so it is estimated to be at a depth of >6km below the surface. The difference in the results of the 3D inversion of the regional data resulting from the Butterworth filter and the moving average filter is that the value of the RMS model resulting from the 3D inversion of the regional data resulting from the Butterworth filter is better than the regional data resulting from the moving average filter.That is 0.07% for regional anomaly data for the Butterworth filter variation and 0.093% for regional anomaly data for the moving average filter variation.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Arjuno-Welirang, Gravity, Panas Bumi, Geothermal
Subjects:	Q Science > QC Physics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Narita Oktaviani Solihah
Date Deposited:	23 Aug 2023 07:49
Last Modified:	23 Aug 2023 07:49
URI:	http://repository.its.ac.id/id/eprint/102044

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