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TitreIntegrating geological constraints in geophysical models
AuteurMorris, W A; Spicer, B; Tschirhart, P; Tschirhart, V; Lee, M D; Ugalde, H
SourceProceedings of the Society of Exploration Geophysics, Annual General meeting; 2012 p. 1-5
LiensOnline - En ligne
Séries alt.Secteur des sciences de la Terre, Contribution externe 20130557
RéunionSociety of Exploration Geophysics, Annual General meeting; Las Vegas; US; Novembre, 2012
Mediaen ligne; numérique
Sujetsinterprétations géophysiques; interprétation aéromagnétique; levés aéromagnétiques; établissement de modèles magnétiques; modèles; modèles de la pesanteur; géophysique
Illustrationslocation maps; geophysical images
ProgrammeÉtude des gîtes de sulfures massifs volcaniques, Initiative géoscientifique ciblée (IGC-4)
Résumé(Sommaire disponible en anglais seulement)
There are three possible schemes by which one can compute geophysical models: discrete body, lithologic surface, and voxel mesh inversion. Each of the se model schemes employs three attributes of the anomalous source body: location, geometry, and physical property contrast. The different computational approach employed by the three methods relating to source body geometry causes emphasis to be placed on either the geological or the geophysical data. The discrete body and lithologic surface methods are controlled by prior geological knowledge of the source geometry. In contrast the unconstrained voxel inversion method is driven by the geophysical data. The interpreter is required to decide which of the se model schemes is appropriate to each specific problem. For example, when looking at diabase dike geometry in the Sudbury Basin the discrete body method must be used, When attempting regional geological mapping of the Baie Verte Peninsula the lithologic surface method is more practical. Finally, when attempting to model a complex fold structure a constrained inversion approach is most appropriate. Eventually it is anticipated that fully constrained inversions will actually incorporate elements of all three modeling schemes.