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Nonlinear inversion based on Metropolis sampling algorithm

Published in Shiyou diqiu wuli kantan • Jan 1, 2015
NobleIDNI9P54W07R48S20
Authors:
Baoli Wang
,
Ruiying Sun
,
Xingyao Yin

Abstract

Nonlinear inversion based on Metropolis sampling algorithm is formulated in the Bayesian framework. As one kind of Monte Carl non-linear inversions, it can effectively integrate high frequency information of well logging data, and obtain inversion results with a higher resolution. Firstly, we get th...

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