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TitreInterpreting regional 3D fault networks from integrated geological and geophysical data sets: an example from the Guichon Creek batholith, British Columbia
AuteurLesage, G; Byrne, K; Morris, W A; Enkin, R J; Lee, R G; Mir, R; Hart, C J R
SourceJournal of Structural Geology vol. 119, 2019 p. 93-106,
Séries alt.Ressources naturelles Canada, Contribution externe 20200246
ÉditeurPergamon-Elsevier Science Ltd
Documentpublication en série
Mediapapier; en ligne; numérique
SNRC92I/02; 92I/03; 92I/06; 92I/07; 92I/10; 92I/11; 92I/14; 92I/15
Lat/Long OENS-121.4167 -120.6667 50.9167 50.0000
Sujetsfailles; anomalies; anomalies magnétiques; modélisation; géophysique; géologie générale; Sciences et technologie; géomathématique
Illustrationslocation maps; tables; magnetic anomaly maps; sketch maps; 3-D models; models; magnetic profiles; plots; photographs; photomicrographs; tables
Diffusé2018 12 26
Résumé(disponible en anglais seulement)
The effects of fault processes on rocks commonly include a lowered magnetic susceptibility and an increased predisposition to erosion. We present a workflow that uses these characteristics of faults and geological observations to interpret a 3D fault network. The location of faults on the topographic surface is first interpreted by a multi-layer lineament mapping method that includes geological and geophysical data sets. We then demonstrate how magnetic intensity data can be used to estimate the dip of fault-related magnetic anomalies by performing 2D inverse modeling along profiles extracted from a magnetic intensity grid. The accuracy of the method is assessed by modeling the dip of low magnetic anomalies of known geometry created in a synthetic 3D magnetic susceptibility model. Modeled dips are consistently accurate to better than 5 degrees for input dips > 60 degrees. A requirement of the method, however, is that the magnetic susceptibility contrast between the background field and the magnetic anomaly must be > 75% for the anomaly to be accurately modeled. Comparison between fault orientations modeled from magnetic data and measured in the field in the Guichon Creek batholith confirms that the methodology can be successfully applied to brittle faults in real, albeit relatively simple geological environments.