Sample Collection, Reduction, Division

Ensure the representativeness of your samples and improve the reliability of reserve estimation and process design, a key step in your mining projects.

    • Avoid major errors caused by poor sampling practices
    • Obtain representative, reasonably sized samples from deposits or stockpiles amounting to several thousand tonnes
    • Secure reserve estimation and the design of processing flow sheets
    • Reduce uncertainties in process definition and equipment selection
    • Guarantee traceability of sampling and sample reduction steps
    • Rely on CIME’s expertise to design and supervise your sampling plans
    • Have your samples collected directly on site by our specialized teams
    • Optimize sample reduction and splitting in accordance with Gy’s sampling theory, to control associated errors
    • Entrust your crushing and screening operations either on site or at CIME’s laboratories, depending on the tonnages to be processed
    • Ensure that the tests used to define your ore treatment process are carried out on composites representative of the area under study
    Practice of simpling according to specific rules
    Definition of the appropriate sampling plan
    • Wide range of equipment: crushers, mills, sieve shakers, riffle splitters, rotary splitters
    • Characterization tools: laser or optical particle size analyzers, image analyzers
    • Rigorous methodology based on Gy’s sampling theory to quantify and minimize sampling error
    • Over 40 years of experience in sampling and mining process design
    • References: process flow sheet design for all Orano’s uranium and gold mining projects, as well as for other projects such as contaminated soil treatment
    • Recognized expertise in evaluating sampling errors and ensuring the reliability of sampling plans