Penerapan Preferential Filter Untuk Interpretasi Data Satelit Gayaberat Pada Daerah 'X'

Pangestu, Mikko Loren (2021) Penerapan Preferential Filter Untuk Interpretasi Data Satelit Gayaberat Pada Daerah 'X'. Undergraduate thesis, Sepuluh Nopember Institut of Technology.

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Abstract

Proses identifikasi karakteristik pada suatu basement dapat dilakukan dengan menggunakan metode gayaberat. Metode gayaberat merupakan salah satu metode geofisika yang dapat mengidentifikasi bawah permukaan berdasarkan variasi densitas batuan penyusunnya. Pengolahan data gayaberat, berkaitan erat dengan penggunaan filter untuk pemisahan anomali regional dengan anomali residual. Pada penelitian ini digunakan data satelit gayaberat dari GGMPlus (Global Gravity Model Plus) 2013 berupa titik koordinat dan percepatan gayaberat (gravity acceleration). Penggunaan filter menjadi poin utama dalam pengolahan data gayaberat. Pada penelitian ini digunakan preferential filter untuk memisahkan anomali regional dengan anomali residual berdasarkan pada Green Equivalent Layer dan Wiener filter. Proses filtering dilakukan dengan analisis kuantitatif melalui penyesuaian logaritma rata-rata (fitting curve) dari Radially Average Power Spectrum menggunakan piecewise linearization yang selanjutnya hasil dari filtering dimodelkan kedalam bentuk 2.5D. Berdasarkan proses piecewise linearization didapatkan nilai band frekuensi untuk anomali regional sebesar 1.37374 sedangkan untuk nilai band frekuensi untuk anomali residual sebesar 4.65899 dan memiliki kecocokan dengan kurva Radially Average Power Spectrum. Proses Preferential Filter menghasilkan nilai anomali regional sebesar -22.2 mGal hingga 31.8 mGal. Persebarannya menunjukkan kesesuaian dengan geologi regional lokasi penelitian, sedangkan pada anomali residual diperoleh nilai -6.23 mGal hingga 5.49 mGal menunjukkan adanya kesesuaian closure dengan struktur geologi patahan dengan didapatkan filtering error sebesar 0.01. Hasil dari pemodelan 2.5D anomali bouguer regional menghasilkan estimasi basement dengan kedalaman 5.5 km hingga 9.3 km dan anomali bouguer residual dapat mengidentifikasi adanya Patahan Kendeng segmen Cepu, Patahan Kendeng segmen Blumbang dan Patahan Kendeng segmen Waru yang memiliki kemiripan dengan penelitian yang dilakukan oleh Pusgen (2017).
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The process of identifying the characteristics of a basement can be done using the gravity method. The gravity method is one of the geophysical methods that can identify the subsurface based on variations in the density of the constituent rocks. Gravity data processing is closely related to the use of filters to separate regional anomalies from residual anomalies. This study used gravity satellite data from GGMPlus (Global Gravity Model Plus) 2013 in the form of coordinates and gravity acceleration. The use of filters is the main point in processing gravity data. In this study, a preferential filter is used to separate regional anomalies from residual anomalies based on the Green Equivalent Layer and Wiener filter. The filtering process is carried out by quantitative analysis by adjusting the average logarithm (fitting curve) of the Radially Average Power Spectrum using piecewise linearization, then the results of the filtering are modeled into a 2.5D form. Based on the piece-wise linearization process, the frequency band value for the regional anomaly is 1.37374 while the frequency band value for the residual anomaly is 4.65899 and has a match with the Radially Average Power Spectrum curve. The Preferential Filter process produces regional anomaly values of -22.2 mGal to 31.8 mGal. The distribution shows conformity with the regional geology of the study site, while the residual anomaly obtained a value of -6.23 mGal to 5.49 mGal indicating the suitability of the closure with the geological structure of the fault with a filtering error of 0.01. The results of the 2.5D regional Bouguer anomaly modeling produce an estimate of a basement with a depth of 5.5 km to 9.3 km and residual Bouguer anomaly can identify the presence of the Kendeng Fault in the Cepu segment, the Kendeng Fault in the Blumbang segment, and the Kendeng Fault in the Waru segment which is like the research conducted by Pusgen (2017).

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Permodelan 2.5D, Pemisahan Anomali, Preferential Filter, Modeling 2.5D, Anomaly Separation
Subjects:	Q Science > QB Astronomy > QB336 Gravity anomalies Q Science > QC Physics > QC111 Density and specific gravity
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	Mikko Loren Pangestu
Date Deposited:	27 Aug 2021 07:33
Last Modified:	27 Aug 2021 07:33
URI:	http://repository.its.ac.id/id/eprint/90056

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