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Estimating Uncertainties for Geophysical Tomography

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Reliable Computing

Abstract

We present statistical and interval techniques for evaluating the uncertainties associated with geophysical tomographic inversion problems, including estimation of data errors, model errors, and total solution uncertainties. These techniques are applied to the inversion of traveltime data collected in a cross well seismic experiment. The inversion method uses the conjugate gradient technique, incorporating expert knowledge of data and model uncertainty to stabilize the solution. The technique produced smaller uncertainty than previous tomographic inversion of the data.

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Authors and Affiliations

  1. Department of Geological Sciences, University of Texas at El Paso, El Paso, TX, 79968, USA, e-mail

    Diane I. Doser, Kevin D. Crain, Mark R. Baker & Matthew C. Gerstenberger

  2. Department of Computer Science, University of Texas at El Paso, El Paso, TX, 79968, USA, e-mail

    Vladik Kreinovich

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Doser, D.I., Crain, K.D., Baker, M.R. et al. Estimating Uncertainties for Geophysical Tomography. Reliable Computing 4, 241–268 (1998). https://doi.org/10.1023/A:1009903529250

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