Developing a Consistent Travel-Time Framework for Comparing Three-Dimensional Velocity Models for Seismic Location Accuracy
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Published:2022-09-28
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Volume:
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ISSN:0033-4553
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Container-title:Pure and Applied Geophysics
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language:en
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Short-container-title:Pure Appl. Geophys.
Author:
Begnaud Michael L.ORCID, Davenport KathyORCID, Conley AndreaORCID, Ballard Sanford, Hipp James, Porritt Robert W.ORCID
Abstract
AbstractLocation algorithms have historically relied on simple, one-dimensional (1D) velocity models for fast seismic event locations. 1D models are generally used as travel-time lookup tables, one for each seismic phase, with travel-times pre-calculated for event distance and depth. These travel-time lookup tables are extremely fast to use and this fast computational speed makes them the preferred type of velocity model for operational needs. Higher-dimensional (i.e., three-dimensional—3D) seismic velocity models are becoming readily available and provide more accurate event locations over 1D models. The computational requirements of these 3D models tend to make their operational use prohibitive. Additionally, comparing location accuracy for 3D seismic velocity models tends to be problematic, as each model is determined using different ray-tracing algorithms. Attempting to use a different algorithm than the one used to develop a model usually results in poor travel-time prediction. We demonstrate and test a framework to create first-P and first-S 3D travel-time correction surfaces using an open-source framework (PCalc + GeoTess, https://www.sandia.gov/salsa3d/software/geotess) that easily stores 3D travel-time and uncertainty data. This framework produces fast travel-time and uncertainty predictions and overcomes the ray-tracing algorithm hurdle because the lookup tables can be generated using the exact ray-tracing algorithm that is preferred for a model.
Funder
National Nuclear Security Administration
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Reference24 articles.
1. Ballard, S., Hipp, J., Young, C., Barker, G. T., & Chang, M. (2008). Implementation of a pseudo-bending seismic travel time calculator in a distributed parallel computing environment. In Proceedings of the 30th monitoring research review, Portsmouth, VA, 23–25 Sept. (pp. 338–346, paper 332–302). 2. Ballard, S., Hipp, J., Begnaud, M., Young, C., Encarnacao, A., Chael, E., et al. (2016a). SALSA3D—A tomographic model of compressional wave slowness in the Earth’s mantle for improved travel time prediction and travel time prediction uncertainty. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120150271 3. Ballard, S., Hipp, J., Kraus, B., Encarnacao, A., & Young, C. (2016b). GeoTess: A generalized earth model software utility. Seismological Research Letters, 87(3), 719–725. https://doi.org/10.1785/0220150222 4. Ballard, S., Hipp, J. R., & Young, C. J. (2009). Efficient and accurate calculation of ray theory seismic travel time through variable resolution 3D earth models. Seismological Research Letters, 80(6), 989–998. https://doi.org/10.1785/gssrl.80.6.989 5. Begnaud, M. L., Ballard, S., Hipp, J., Encarnacao, A., Young, C., Phillips, W. S., et al. (2020a). Validation and testing of SALSA3D: A global model of compressional wave speed for the crust and mantle, Los Alamos National Laboratory, LA-UR-20–27867. https://doi.org/10.2172/1832358.
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