Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
75272 PARIS
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.