A bayesian approach for determining velocity and uncertainty estimates from seismic cone penetrometer testing or vertical seismic profiling data
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Abstract
Conventional processing methods for seismic cone penetrometer data present several shortcomings, most notably the absence of a robust velocity model uncertainty estimate. We propose a new seismic cone penetrometer testing (SCPT) data-processing approach that employs Bayesian methods to map measured data errors into quantitative estimates of model uncertainty. We first calculate travel-time differences for all permutations of seismic trace pairs. That is, we cross-correlate each trace at each measurement location with every trace at every other measurement location to determine travel-time differences that are not biased by the choice of any particular reference trace and to thoroughly characterize data error. We calculate a forward operator that accounts for the different ray paths for each measurement location, including refraction at layer boundaries. We then use a Bayesian inversion scheme to obtain the most likely slowness (the reciprocal of velocity) and a distribution of probable slowness values for each model layer. The result is a velocity model that is based on correct ray paths, with uncertainty bounds that are based on the data error.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A bayesian approach for determining velocity and uncertainty estimates from seismic cone penetrometer testing or vertical seismic profiling data |
| Series title | Canadian Geotechnical Journal |
| DOI | 10.1139/t11-012 |
| Volume | 48 |
| Issue | 7 |
| Year Published | 2011 |
| Language | English |
| Publisher | Canadian Science Publishing |
| Contributing office(s) | Central Energy Resources Science Center |
| Description | 9 p. |
| First page | 1061 |
| Last page | 1069 |
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