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Titre3D stochastic inversion of potential field data using structural geologic constraints
AuteurShamsipour, P S; Schetselaar, E S; Bellefleur, G B; Marcotte, D M
Source76th EAGE Conference and Exhibition - abstracts; par EAGE; 2014 p. 1, https://doi.org/10.3997/2214-4609.20141555
Année2014
Séries alt.Secteur des sciences de la Terre, Contribution externe 20140319
Réunion76th EAGE Conference and Exhibition; Amsterdam; NL; juin 16, 2014
Documentlivre
Lang.anglais
DOIhttps://doi.org/10.3997/2214-4609.20141555
Medianumérique; en ligne
Formatshtml
ProvinceManitoba
SNRC63K/16
Lat/Long OENS-100.5000 -100.0000 56.0000 55.7500
Sujetslevés géophysiques; gisements minéraux; méthodes analytiques; caractéristiques structurales; plissement; stratification; géophysique; géologie structurale; Précambrien
ProgrammeÉtude des gîtes de sulfures massifs volcaniques, Initiative géoscientifique ciblée (IGC-4)
Résumé(disponible en anglais seulement)
In this paper, we introduce a new method to include structural geological information into the stochastic inversion of potential field data. The inversion method is based on a geostatistical approach with ability to add gradient information. The method considers geological interfaces and planar orientation data such as stratification or foliation estimated from drill holes or seismic interpretation. Application to a synthetic gravity model of a folded high-density layer demonstrate that the constrained stochastic inversion method significantly improves the recovered model. The method is also applied on a case study in the Lalor area in Manitoba, Canada in order to characterize the deposit and host environment by integrating seismic information and borehole data.
GEOSCAN ID295568