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Three-dimensional stochastic inversion of gravity data: application to gravity data from the Matagami region, Quebec

An 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.

Status
In progress
Type
Project
Project URL
http://geoscan.nrcan.gc.ca/starweb/geoscan/servlet.starweb?path=geoscan/fulle.web&search1=R=286079
Start Date
End Date

The Great Lakes - St. Lawrence Research Inventory is an
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up-to-date information about research projects in the
Great Lakes - St. Lawrence Region.