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Statistically determining errors of velocity models

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In non-linear systems, e.g. inversion of long offset seismic data for velocity, it is difficult to map the uncertainty from the data into the model  space. I will propose a Monte-Carlo based random walk method, called the Metropolis-Hastings algorithm, as a possible method. I will also show more sinister effects of model inadequacy caused by simplification of physics and model parameterisation that ultimately limit the accuracy of the results.

This talk is part of the Bullard Laboratories Wednesday Colloquia series.

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