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TitleThree-dimensional stochastic inversion of gravity data: application to gravity data from the Matagami region, Quebec
AuthorShamsipour, P; Chouteau, M; Keating, P; Marcotte, D
SourceGeological Survey of Canada, Current Research (Online) no. 2010-12, 2010, 13 pages, (Open Access)
PublisherNatural Resources Canada
Mediaon-line; digital
RelatedThis publication is related to Shamsipour, P; Marcotte, D; Chouteau, M; Keating, P; (2010). 3D stochastic inversion of gravity data using cokriging and cosimulation, Geophysics vol. 75 no. 1
File formatpdf (Adobe Acrobat Reader)
NTS32E/09; 32E/16; 32F/12; 32F/13
Lat/Long WENS-78.1667 -77.5000 49.8333 49.5833
Subjectsmathematical and computational geology; geophysics; geostatistics; models; gravity models; geophysical surveys; gravity surveys; computer simulations; gravity interpretations; gravity anomalies
Illustrationslocation maps; 3-D models; graphs; histograms
ProgramGroundwater Geoscience, Aquifer Assessment & support to mapping
Released2010 12 16
AbstractAn innovative geostatistical approach has been used to produce a 3-D model of the density distribution in the Matagami area. Gravity data are from a detailed survey where the station spacing aver-ages 500 m. The validity of the 3-D model is evaluated by a conditional cosimulation. The gravity, density, and gravity-density covariance matrices are estimated using the observed gravity data. Then, the densities are co-kriged using the gravity data as the secondary variable. The model allows us to include noise in the oservations. The proposed method was first tested on synthetic data. The results show the ability of the method to integrate complex a priori information. The technique was then applied to actual gravity data from the Matagami mining camp. The results of the inversion and the simulation methods are in good agreement with the observed surface geology in the survey region.