An Application of Inversion Technique to 1-Dimensional Gravity Data in Bayesian Framework using Monte Carlo, Metropolis, and Simulated Annealing Algorithm

Adam Sukma Putra (Physics of Earth and Complex System Research Division, Institut Teknologi Bandung, Indonesia)
Wahyu Srigutomo (Physics of Earth and Complex System Research Division, Institut Teknologi Bandung, Indonesia)
Yuant Tiandho (Theoretical High Energy Physiscs and Instrumentation Research Division, Institut Teknologi Bandung, Indonesia)
Herlin Tarigan (Physics of Magnetism and Photonics Research Division, Institut Teknologi Bandung, Indonesia)
Yanti Yanti (Physics of Electronic Materials Research Division, Institut Teknologi Bandung, Indonesia)

Indonesian Journal of Physics (IJP)
Vol 30 No 1 (2019): Vol 30 No 1 (2019)

The purpose of this paper is to present a simulation to the inversion methods applied to geophysical exploration. Anapplication of Monte-Carlo, Metropolis, and Simulated Annealing techniques to 1-Dimensional gravity inversion inBayesian framework has been studied. Differences between these methods are observed in both single parameterinversion and simultaneous multi parameter inversion. After selecting the best inversion strategy from the three methods,a further investigation was investigated. Multi parameter inversion for two anomalies is simultaneously carried out andresults are observed. The synthetical data of GRAV2DC free source were used instead of observed data.