Services in Mining Geostatistics
- Mining Services - PDF - 550.8 kb
Since its inception, Geovariances has provided consultancy services to mining companies around the world. Our reputation as a leading geostatistics consultancy is founded on a long history of solving practical mining problems according to industrial needs.
Pierre Vix, Consultant at Glencore International
Monique Le Guen, Geology Department Manager Resources & Reserves, Eramet Nickel Division
Dr. Matthew Field, Consulting Geologist at Diakim Consulting Ltd
Geovariances consultants are experienced in all aspects of mineral estimation from exploration to mining and provide solutions tailored to your particular requirements:
- Implement efficient estimation workflows and integrate Isatis seamlessly with your other systems
- Quantify the benefit of improved resource estimation methodologies
- Help to identify the benefits of implementing Isatis in your business
- Independent review of estimation processes and results
- More than 50 projects successfully achieved for mining companies and consulting offices over the last 2 years.
Exploration/Pre-feasibility Stage
Because understanding the mineralization is vital to evaluate project potential.
Early assessment of the potential of an orebody requires a sound knowledge of the in-situ resource: over or under-estimating the resource may have substantial financial consequences.
Geovariances consultants can help you develop greater orebody knowledge and benefit from an accurate resource model by:
- Providing data analysis tools for identifying directions of maximum grade continuity and better understanding small scale variability.
- Maximizing the value of all available data with multivariate data analysis to integrate different variables such as different sample types.
- Optimizing drill hole spacing.
- Tuning your kriging parameters to ensure unbiased resource models.
Feasibility Stage
Because knowing the technical and economic viability of the orebody is crucial.
There is a lot of pressure during the feasibility stage to produce realistic estimates of grade and tonnage. Mining and processing studies require the grade and distribution of small blocks yet typically only wide spaced data is available.
Geovariances consultants have extensive experience in dealing with these issues.
- Evaluate the optimal size of your mining blocks
The choice of the mining block (SMU) size is crucial to the performance of a mine.
Geovariances has extensive experience in change of support modeling to evaluate sensitivity to block size. We help you choose the one that best meets your specific requirements.
- Quantify the risks associated with your project
As an input to Mine planning and to help quantify the financial risks associated with your project, we help you apply Conditional Simulation techniques to assess the variability of the Resource and the associated probability.
- Base your mine plan on the best possible Resource evaluation
Applying a cut-off to classically estimated (kriged) mining blocks with wide-spaced drillholes leads to biased grade-tonnage estimates, with potentially serious financial consequences.
An accurate and unbiased assessment of small mining blocks (SMU’s) above cut-off is required in order to confidently plan production and design pits that maximize the cash flow during the financially critical early years.
We help you to choose and apply appropriate non-linear geostatistics, including support/information effect, for estimating recoverable resources.
Production Stage
Because appropriate grade reconciliation and plant recovery are essential.
- Supporting efficient grade control
For short term mine planning it is vital to estimate without bias the grades of individual mining blocks or stopes to properly process the ore and maximize the potential of your operation.
- Define an optimal production sampling pattern
Optimize grade control sampling with geostatistical simulations.
- Quantify and integrate the grade variability at the plant
Short term mill feed variability can have a large impact on mill performance. We help you meet your mill feed variability targets through increased understanding of in-situ grade variability and conditional simulations to support stockpiling and blending decisions.



