Bayesian Inversion of Lithology and Liquid Phase Parameters From Seismic Velocity and Electrical Conductivity in the Crust and Uppermost Mantle
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Le résumé fourni par la source
Abstract To deeply understand various geodynamic processes, including volcanic activities and earthquakes, it is essential to extract detailed information about Earth materials, such as lithology and geofluid, from geophysical, petrological, and geochemical observations of Earth's interior. We developed a Bayesian probabilistic framework that can estimate the lithology and geofluid type (aqueous fluid or melt), geofluid amount (porosity), and parameters related to the fluid geometry (aspect ratio and critical fluid fraction related to connectivity) from P‐wave and S‐wave seismic velocities and electrical conductivity data obtained from geophysical tomography. By conducting synthetic inversion tests, we showed that methods based on a joint probability distribution, which simultaneously determines all parameters, sometimes fail to narrow the number of possible answers from 78 lithologies (e.g., basalt, granite, and eclogite) × two geofluid type (melt or aqueous fluid) candidate sets. This failure is derived directly from the difficult nature of inversion problems with relatively large data uncertainties. The proposed method uses a marginalization technique that first estimates lithology and geofluid type and then quantifies geofluid parameter values, which can narrow the probable lithology, geofluid type, and geofluid parameter sets in many cases. In addition, the computational cost of the proposed marginalization method is comparative to a former joint‐estimation method, which is theoretically identical to a previous heuristic method based on the least squares method. Therefore, the marginalization method is useful for geophysical data analyses that involve large amounts of observational data with relatively large uncertainties.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Bayesian Inversion of Lithology and Liquid Phase Parameters From Seismic Velocity and Electrical Conductivity in the Crust and Uppermost Mantle
- Date Crossref
- 01/12/2023
- Éditeur
- American Geophysical Union (AGU)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Japan Agency for Marine-Earth Science and Technology pays non établi dans la noticeStructure de recherche
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National Institute for Materials Science pays non établi dans la noticeStructure de recherche
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Association for the Development of Earthquake Prediction pays non établi dans la noticeStructure de recherche
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The University of Tokyo pays non établi dans la noticeUniversité ou école supérieure
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Research Institute for Marine Geodynamics Japan Agency for Marine‐Earth Science and Technology (JAMSTEC) Yokosuka Japan pays non établi dans la noticeStructure de recherche
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Chesterford Co. Ltd. Yokohama Japan pays non établi dans la noticeEntreprise
Japan Agency for Marine-Earth Science and Technology, National Institute for Materials Science et Association for the Development of Earthquake Prediction, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.