1-D AUDIO-MAGNETOTELLURIC (AMT) INVERSION MODELLING USING MODIFIED SYMBIOTIC ORGANISM SEARCH (MSOS) ALGORITHM

• Main Author: Deva Fachrezi, Fadhil
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/77915
• Institution: Institut Teknologi Bandung

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%.