FORWARD AND INVERSE MODELING USING VERY FAST SIMULATED ANNEALING (VFSA) FOR 2-D GRAVITY ANOMALY WITH TALWANI’S FOMULATION

• Main Author: GUSTIYA (NIM: 20214045), TRISHA
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/24576
• Institution: Institut Teknologi Bandung

Gravity method is a geophysical exploration method used to determine the subsurface structure of the Earth based on difference of rock‘s density. Understanding about subsurface structure is done by a modeling. There are two <br /> <br /> <br /> types of modeling, forward modeling and inverse modeling. In this research, synthetic and observation data is modeled by forward and inverse modeling. In forward modeling, fitting data is determined by trial and error process manualy. In inverse modeling fitting data is obtained by using Very Fast Simulated Annealing (VFSA) for convergence solution in global minimum of misfit function. Causative <br /> <br /> <br /> body in real object is approached by N-side of polygon using Talwani’s formulation. The good result is showed by forward inverse modeling on synthetic data. Adding a priory is needed in gravity method because of its ambiguity. The <br /> <br /> <br /> implementation of this research will apply for the fault structure in West Java. Data is collected in Banjaran region, South Bandung, West Java. The data obtained were <br /> <br /> <br /> modeled using modeling forward by trial and error and inversion using VFSA. Forward modeling results by trial and error to guide you to get a rough idea of subsurface models. Better results in describing subsurface models obtained from the inversion VFSA. The results follow a curve inversion successful observation data Erms level of 0.0027251. Modeling the gravity method has the nature of <br /> <br /> <br /> ambiguity. The geological information is helpful to obtain the best results in describing the structure of the subsurface using the gravity method.