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Framework for Seismic Inversion of Full Waveform Data Using Sequential Filtering
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gineste, Michael Eidsvik, Jo |
| Copyright Year | 2015 |
| Abstract | Subsurface velocity inversion using full waveform modelling continues to be a challenging problem. Instead of approaching it as a deterministic optimization problem, it is here formulated in a probabilistic framework as a filtering problem, using shot data sequentially to update the estimation procedure. Such an approach has the potential of being more robust to e.g. noise and starting guess, but comes at the cost of more forward model evaluations. We present a small-sized synthetic example of using a sequential filtering method known as the Ensemble Kalman Filter for seismic velocity inversion and conclude with an outline of direction for further investigations. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://wiki.math.ntnu.no/_media/ure/subm-2015-4.pdf |
| Alternate Webpage(s) | https://doi.org/10.3997/2214-4609.201413632 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
