MODELING MAGNETOTELLURIC DATA FROM TUZLA-ÇANAKKALE HYDROTHERMAL SYSTEM WITH PARTICLE SWARM OPTIMIZATION TO IMAGE CAP ROCK STRUCTURE

Modeling a cap rock structure that maintains the reservoir temperature is an important component of a geothermal system. Magnetotelluric (MT) method that is quite sensitive to geochemical changes in a cap rock is a well suited method to determine such structure. However, modeling of magnetotelluric data with traditional and mainly derivative-based inversion methods may be problematic due to their possible trapping at a local minimum and initial model dependency. With this study, we developed a code that implements the particle swarm optimization (PSO) to obtain a 1-D resistivity-depth model from a magnetotelluric phase tensor rather than impedance tensor data set. We show that the code successfully produced the cap rock structure from the MT data set acquired from Tuzla-Çanakkale (Turkey) geothermal field. The results appears to suggest that the PSO may be a strong alternative to the conventional techniques because most of the conventional difficulties are eliminated.