An Application of Inversion Technique to 1-Dimensional Gravity Data in Bayesian Framework using Monte Carlo, Metropolis, and Simulated Annealing Algorithm
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Abstract
The purpose of this paper is to present a simulation to the inversion methods applied to geophysical exploration. An
application of Monte-Carlo, Metropolis, and Simulated Annealing techniques to 1-Dimensional gravity inversion in
Bayesian framework has been 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,
a further investigation was investigated. Multi parameter inversion for two anomalies is simultaneously carried out and
results are observed. The synthetical data of GRAV2DC free source were used instead of observed data.
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Putra, A., Srigutomo, W., Tiandho, Y., Tarigan, H., & Yanti, Y. (2019). An Application of Inversion Technique to 1-Dimensional Gravity Data in Bayesian Framework using Monte Carlo, Metropolis, and Simulated Annealing Algorithm. Indonesian Journal of Physics, 30(1), 1 - 5. https://doi.org/10.5614/itb.ijp.2019.30.1.1
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References
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