Cel
DEVELOPMENT OF A GEOMETRIC PROBABILITY MODEL FOR THE SIMULTANEOUS UTILIZATION OF GEOLOGICAL KNOWLEDGE AND INFORMATION OBTAINED BY PROSPECTING COMPANIES.
THE INFORMATION AND TECHNICAL DETAILS ARE EXTREMELY IMPORTANT FOR ASSESSMENT OF ECONOMIC ASPECTS OF A MINING PROJECT.
The aim of this research project was to develop a methodology for simulating the morphology of tectonised deposits. Often in such cases, the classical guassian geostatistical methods could not represent the geometry and the relation geometry-grade well enough. Briefly, this present research was to describe the geometry and the relation geometry-grade of experimental data and to build models which make it possible to respect this relation, to build simulations, and to condition these simulations to the data.
The most interesting result of this research is the geometry grade model which consists in using 2 gaussian variables. One is as usual the guassian transformed grade. The other one is a guassian variable which, after truncation, generates the lamprophyres. They looked like natural forms and were acceptable to the geologists. The model shows that the guassian models, used for the classical conditional simulations, can be interesting for other geometrics. It is an indirect way, compared to the direct one which consists in generating, randomly or not, desired forms (which are sometimes schematic or arbitrary). Any type of form is not available using the indirect way, but the variability of the resulting forms makes them look natural. Moreover there are now ways to condition such simulations.
DEVELOPMENT OF A METHODOLOGY FOR THE CHARACTERISATION OF DEPOSITS.
PRODUCTION OF GEOMETRIC PROBABILITY MODELS AND CHOICE OF A FAMILY OF MODELS.
SIMULATION AND IMPROVEMENT OF THE MODEL.
APPRAISAL OF THE COMPUTERIZED GEOMETRIC PROBABILITY MODEL.
APPLICATION TO A SECOND DEPOSIT.
GENERALIZATION OF THE MODEL.
Dziedzina nauki
Program(-y)
Temat(-y)
Data not availableZaproszenie do składania wniosków
Data not availableSystem finansowania
CSC - Cost-sharing contractsKoordynator
75272 PARIS
Francja