Title: Using an Orthogonal Residual between Ore and Metal to Estimate In-Situ Uranium Resources
Abstract: Estimating in situ resources, when the geometry of the mineralized formations is not (yet) known, can be conveniently done using service variables: ore and metal. In the deposit under study, computing the residual of the regression of metal on ore at each point proves to be quite interesting. The metal appears to be the sum of 2 orthogonal random functions: the regressed ore, and the residual. In the related linear model, cokriging the service variables is done simply by kriging the ore and the residual of the linear regression separately. The results (estimated ore, metal, and grade = metal/ore) prove to be much more consistent than those obtained when kriging each service variable separately.
Publication Year: 1989
Publication Date: 1989-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 7
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot