1-D AUDIO-MAGNETOTELLURIC (AMT) INVERSION MODELLING USING MODIFIED SYMBIOTIC ORGANISM SEARCH (MSOS) ALGORITHM
The Audio-Magnetotelluric Method (AMT) is an a passive geophysical method that utilizes the physical characteristics of electromagnetic waves to determine subsurface resistivity values with depth. In this study, the author will perform 1-D AMT modeling on both synthetic and field data using the m...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/77915 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The Audio-Magnetotelluric Method (AMT) is an a passive geophysical method that
utilizes the physical characteristics of electromagnetic waves to determine
subsurface resistivity values with depth. In this study, the author will perform 1-D
AMT modeling on both synthetic and field data using the modified Symbiotic
Organism Search (mSOS) algorithm. The mSOS algorithm is a global optimization
algorithm employing stochastic search methods. It was chosen due to its high
accuracy and convergence speed. This inversion modeling will apply the
fundamental properties of the mSOS method to obtain the best model capable of
depicting resistivity variations with depth. The synthetic data used in the process
include homogeneous Earth models and layered Earth models. Field data is
sourced from the Pariangan geothermal field in Tanah Datar, West Sumatra. The
results of the inversion modeling using the mSOS algorithm are considered good
as they achieve optimum results with synthetic data errors of <1% and field data
errors of <5.2%. |
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