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Title3D stochastic inversion of gravity data using cokriging and cosimulation
AuthorShamsipour, P; Marcotte, D; Chouteau, M; Keating, P
SourceGeophysics vol. 75, no. 1, 2010 p. I1-I10, https://doi.org/10.1190/1.3295745
Year2010
Alt SeriesEarth Sciences Sector, Contribution Series 20080670
Documentserial
Lang.English
Mediapaper; on-line; digital
RelatedThis publication is related to Shamsipour, P; Chouteau, M; Keating, P; Marcotte, D; (2010). Three-dimensional stochastic inversion of gravity data: application to gravity data from the Matagami region, Quebec, Geological Survey of Canada, Current Research (Online) no. 2010-12
File formatpdf
Subjectsgeophysics; mathematical and computational geology; geostatistics; computer simulations; gravity interpretations; gravity anomalies; gravity models; models; gravity models; modelling
Illustrationsprofiles; diagrams; plots
ProgramTargeted Geoscience Initiative (TGI-3), 2005-2010
AbstractAnew application has been developed, based on geostatistical techniques of cokriging and conditional simulation, for the 3D inversion of gravity data including geologic constraints. The necessary gravity, density, and gravity-density covariance matrices are estimated using the observed gravity data. Then the densities are cokriged or simulated using the gravity data as the secondary variable. The model allows noise to be included in the observations. The method is applied to two synthetic models: a short dipping dike and a stochastic distribution of densities. Then some geologic information is added as constraints to the cokriging system. The results show the ability of the method to integrate complex a priori information. The survey data of the Matagami mining camp are considered as a case study. The inversion method based on cokriging is applied to the residual anomaly to map the geology through the estimation of the density distribution in this region. The results of the inversion and simulation methods are in good agreement with the surface geology of
the survey region.
GEOSCAN ID226445