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Title3D stochastic inversion of potential field data using structural geologic constraints
AuthorShamsipour, P S; Schetselaar, E S; Bellefleur, G B; Marcotte, D M
Source76th EAGE Conference and Exhibition - abstracts; by EAGE; 2014 p. 1,
Alt SeriesEarth Sciences Sector, Contribution Series 20140319
PublisherEAGE Publications BV
Meeting76th EAGE Conference and Exhibition; Amsterdam; NL; June 16, 2014
Mediadigital; on-line
File formathtml; pdf
AreaSnow Lake
Lat/Long WENS-100.5000 -100.0000 56.0000 55.7500
Subjectsgeophysics; structural geology; geophysical surveys; mineral deposits; analytical methods; structural features; folding; stratification; Lalor Lake deposit; Precambrian
ProgramTargeted Geoscience Initiative (TGI-4), Volcanogenic Massive Sulfide Ore Systems
AbstractIn 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.