An Application of inversion techniques to the 1-Dimensional Gravity data in Bayesian Framework using Monte Carlo, Metropolis, and Simulated Annealling Algorithm
Adam Sukma Putra, Yuant Tiandho, Herlin Tarigan, Yanti
Institut Teknologi Bandung
Abstract
The purpose of this paper is to present a simulation to the inversion methods applied to geophysical exploration. Application of Monte-Carlo, Metropolis and Simulated Annealing techniques to 1D gravity inversion in a Bayesian framework is studied. Differences between these methods are observed in both single parameter inversion and simultaneous multi parameter inversion. After selecting the best inversion strategy from the three methods, an application is investigated. Multi parameter inversion for two anomalies is simultaneously carried out and results are observed. In a future scope of this study, another application of representing an arbitrary polygonal shape body elongated infinitely along crossline direction by a set of square anomalies is described. The Talwani method is used for obtaining the real data set in this case.
Keywords: inversion technique, Monte Carlo, Metropolis, Simulated Annealling, Gravity method
Topic: Physics