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Geoelectric resistivity method is a method studying the flow of electricity in the earth and how to detect it in the earth's surface. Resistivity is the ability to resist electric current flowing in the material. In this final project, forward and inverse modelling has been done. Forward m...
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id-itb.:235842017-09-28T09:43:48Z#TITLE_ALTERNATIVE# RAMA WIRA JULIA (NIM : 10212095), NUR Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23584 Geoelectric resistivity method is a method studying the flow of electricity in the earth and how to detect it in the earth's surface. Resistivity is the ability to resist electric current flowing in the material. In this final project, forward and inverse modelling has been done. Forward modelling used apparent resistivity formula obtained analytically in the form of integral Bessel functions. While the inverse modeling used damped least-squares inversion and Singular Value Decomposition (SVD). By using synthetic data inversion results obtained with rms error on the order of 10-4. then, the forward modelling applied to three sounding data (data field) of Papandayan volcanic crater area. Based on the results of the inversion of field data, obtained rms error of 0.063874, 0.99356 and 1.0353 respectively, with the same number of iterations is 100 iterations. The results of the 2-D crosssectional view showing three layers. The first layer with a depth of 5 m below the earth's surface has a resistivity of about 100 Ωm. The second layer with a depth of 25 m has a resistivity of about 10 Ωm. The third layer has a resistivity of about 1000 Ωm. Based on the general geological data layers one, two, three in a row can be interpreted as pyroclastic rocks, soils and bedrock. text |
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Geoelectric resistivity method is a method studying the flow of electricity in the earth and how to detect it in the earth's surface. Resistivity is the ability to resist electric current flowing in the material. In this final project, forward and inverse modelling has been done. Forward modelling used apparent resistivity formula obtained analytically in the form of integral Bessel functions. While the inverse modeling used damped least-squares inversion and Singular Value Decomposition (SVD). By using synthetic data inversion results obtained with rms error on the order of 10-4. then, the forward modelling applied to three sounding data (data field) of Papandayan volcanic crater area. Based on the results of the inversion of field data, obtained rms error of 0.063874, 0.99356 and 1.0353 respectively, with the same number of iterations is 100 iterations. The results of the 2-D crosssectional view showing three layers. The first layer with a depth of 5 m below the earth's surface has a resistivity of about 100 Ωm. The second layer with a depth of 25 m has a resistivity of about 10 Ωm. The third layer has a resistivity of about 1000 Ωm. Based on the general geological data layers one, two, three in a row can be interpreted as pyroclastic rocks, soils and bedrock. |
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RAMA WIRA JULIA (NIM : 10212095), NUR |
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RAMA WIRA JULIA (NIM : 10212095), NUR #TITLE_ALTERNATIVE# |
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RAMA WIRA JULIA (NIM : 10212095), NUR |
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RAMA WIRA JULIA (NIM : 10212095), NUR |
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