Using constrained inversion of gravity and magnetic field to produce a 3D litho-prediction model

Author:

Mahmoodi Omid1,Smith Richard S.1,Spicer Bill2

Affiliation:

1. Department of Earth Sciences; Laurentian University; Sudbury ON P3E 2C6 Canada

2. KGHM International; Sudbury ON P3E 5P4 Canada

Funder

Natural Sciences and Engineering Research Council of Canada

University of British Columbia

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Reference47 articles.

1. Ames D. Farrow C. 2007 Metallogeny of the Sudbury mining camp, Ontario Mineral deposits of Canada: A synthesis of major deposit-types, district metallogeny, the evolution of geological provinces, and exploration methods W.D. Goodfellow 329 350 Mineral Deposits Division, Geological Association of Canada

2. Application of neural network to the problem of mineral identification from well logs;Baldwin;The Log Analyst,1990

3. Inferring the lithology of borehole rocks by applying neural network classifiers to downhole logs: an example from the Ocean Drilling Program;Benaouda;Geophysical Journal International,1999

4. Joint inversion of gravity and magnetic data under lithologic constraints;Bosch;The Leading Edge,2001

5. Constraints in 3D gravity inversion;Boulanger;Geophysical Prospecting,2001

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