Putra, Faiz Muhammad Eka (2019) Perbandingan Metode Sequential Gaussian Simulation pada Resistivitas 2D dengan Metode Resistivitas 3D dalam Pemodelan Resistivitas 3D. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Metode Geolistrik Resistivitas 3D secara teori dapat menggambarkan kondisi bawah permukaan secara akurat dengan biaya yang relatif mahal. Sehingga untuk area yang luas survei ini lebih jarang digunakan daripada metode resistivitas 2D. Metode Sequential Gaussian Simulation merupakan salah satu alternatif untuk memodelkan kondisi bawah permukaan bumi secara 3D dari data resistivitas 2D. Dibuat model awal resistivitas yang terdapat dua lapisan. Lapisan pertama memiliki nilai resistivitas 10 Ωm dan lapisan kedua memiliki nilai resistivitas 5 Ωm yang terletak di bawah lapisan pertama. Kemudian dilakukan forward modelling pada metode resistivitas 2D dan metode resistivitas 3D untuk mendapatkan nilai resistivitas semu. Setelah itu dilakukan proses inversi data pada masing – masing metode untuk mendapatkan gambaran kondisi bawah permukaan dari model awal. Untuk pemodelan 3D pada metode resistivitas 2D menggunakan metode Sequential Gaussian Simulation. Pada penggunaanya dibutuhkan data analisis yaitu data harus terdistribusi normal dan membuat variogram sebagai acuan pemodelan 3D. Pemodelan 3D pada metode resistivitas 3D hanya diperlukan proses inversi data. Hasil Pemodelan 3D dengan metode Sequential Gaussian Simulation dapat menyamai model 3D dari resistivitas 3D. Didapati nilai resistivitas yang tidak jauh berbeda dari kedua model yaitu untuk lapisan 1 nilai resistivitas sekitar 10 Ωm dan untuk lapisan kedua yaitu sekitar 5 Ωm. Selain itu model dapat menunjukkan kondisi bawah permukaan dengan baik.
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3D resistivity method theoretically can describe subsurface conditions accurately at relatively expensive cost. So that for large areas this survey is less frequently used than 2D resistivity methods. Sequential Gaussian Simulation method is an alternative to describe the subsurface conditions in 3D from 2D resistivity data. The initial resistivity model is made with two layers. The first layer has a resistivity value 10 Ωm and the second layer has a resistivity vaalue 5 Ωm which is located below the first layer. Than forward modelling is applied to 2D resistivity method and 3D resistivity method to get apparent resistivity values. After that inversion process is applied to both of resistivity method to get a picture of the subsurface conditions of initial resistivity model. 3D modeling of 2D resistivity method using the Sequential Gaussian Simulation method. In its aplications data analysis is needed, the data must be normally distributed and make variogram as a reference of 3D modelling. 3D modelling in 3D resistivity method only requires data inversion. The results of 3D modeling with the Sequential Gaussian Simulation method can match the 3D model of 3D resistivity. The resistivity value found is not much different from the two models, namely, for layer 1 the resistivity value is around 10 Ωm and for the second layer is around 5 Ωm. In addition, the model can show subsurface conditions well.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSGf 551.447 Put p-1 2019 |
| Uncontrolled Keywords: | Resistivitas 2D, Resistivitas 3D, Sequential Gaussian Simulation. |
| Subjects: | T Technology > T Technology (General) > T57.5 Data Processing |
| Divisions: | Faculty of Civil, Environmental, and Geo Engineering > Geophysics Engineering > 33201-(S1) Undergraduate Theses |
| Depositing User: | Faiz Muhammad Eka Putra |
| Date Deposited: | 20 May 2024 07:49 |
| Last Modified: | 20 May 2024 07:49 |
| URI: | http://repository.its.ac.id/id/eprint/64698 |
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