Szczegóły publikacji
Opis bibliograficzny
Selecting velocity models using Bayesian information criterion / Tomasz DANEK, Bartosz GIERLACH, Ayiaz Kaderali, Michael A. Slawinski, Theodore Stanoev // Geophysical Prospecting ; ISSN 0016-8025. — 2023 — vol. 71 iss. 5, s. 811-815. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-10-11
Autorzy (5)
- AGHDanek Tomasz
- AGHGierlach Bartosz
- Kaderali Ayiaz
- Slawinski Michael A.
- Stanoev Theodore
Dane bibliometryczne
| ID BaDAP | 147685 |
|---|---|
| Data dodania do BaDAP | 2023-08-01 |
| Tekst źródłowy | URL |
| DOI | 10.1111/1365-2478.13153 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Geophysical Prospecting |
Abstract
We present a strategy for selecting the values of model parameters by comparing walkaway vertical seismic profiling data with a multilayered model in the context of Bayesian information criterion. We consider P-wave traveltimes and assume elliptical polar velocity dependence. A model with different propagation speeds, depending on the angle of propagation, can be a good approximation for a medium composed of thin layers. While elliptical anisotropy in a one-layer model yields good results, an efficient tool for multilayer modelling would provide improved inversion results. To obtain the proper set of velocity values for specific parameterizations, we require two steps of optimization. In the first step, we find the signal trajectory; in the second step, we obtain parameter values by minimizing the misfit between the model and the data. By comparing models and data, we choose the best model in the sense of the Bayesian information criterion.