MODELLING OF 1D MAGNETOTELLURIC DATA USING SYMBIOSIS ORGANISMS SEARCH (SOS)

• Main Author: Ghani Arrasyd, Muhamad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/43893
• Institution: Institut Teknologi Bandung

Magnetotelluric (MT) is one of geophysical methods that utilizes natural electromagnetic sources for probing resistivity distribution of the Earth. Modelling needs to be conducted to obtain the information contained in the data, one of which is by using inversion method. Inversion of 1D MT data is a non-linear inverse method. The global search approach is often employed to overcome drawbacks of linearized method which is considered inadequate for non-linear inverse problems. Symbiosis Organisms Search (SOS) is population-based optimization algorithm that mimics survival efforts of organisms in an ecosystem. The interactions among organisms for survival involve mutualism, commensalism, and parasitism symbiosis. This algorithm is one of non-linear inverse problem resolution methods using a global approach. In inverse problems, the surviving organisms represent the optimum solution in the search space. SOS has a good balance between exploration and exploitation of the search space. The algorithm will be applied for layered earth (1D) modelling of magnetotelluric data. Application of SOS algorithm for 1D modelling are conducted to synthetic data and several real (field) data. Inversion of synthetic data showed satisfactory result in term of synthetic model recovery and good fit between the the data. Application to field data modelling showed the same resistivity pattern for two different number of layers information