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

2019 ◽  
Vol 30 (1) ◽  
pp. 1-5
Author(s):  
Adam Sukma Putra ◽  
Wahyu Srigutomo ◽  
Yuant Tiandho ◽  
Herlin Tarigan ◽  
Yanti Yanti

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.

2011 ◽  
Vol 52 ◽  
Author(s):  
Nikolaj Grigorjev ◽  
Gediminas Stepanauskas

In this paper the problem of the construction of schedule of lectures is considered. The Markov chain Monte Carlo method is used. A particular program based on simulated annealing algorithm was created.  


2012 ◽  
Vol 97 ◽  
pp. 9-15 ◽  
Author(s):  
Ya Cai ◽  
Yuanqing Xia ◽  
Li Dai ◽  
Chi Xiao ◽  
Jiaxiang Wu

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