ISATIS reference software for mining geostatistics by Geovariances


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ISATIS, Geovariances leading-edge geostatistical software solution used by +3500 people over the world, helps the Mining industry improves resource evaluation.
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ISATIS reference software for mining geostatistics by Geovariances

  1. 1. Isatis for the Mining Industry The precision you need
  2. 2. Isatis: an asset at each phase of a project  Geostatistics for the exploration phase  Advanced data analysis  Drilling pattern optimization  Local & global resource estimation  Uncertainty assessment In-depth data analysis with Isatis EDA 3D block model
  3. 3. Isatis: an asset at each phase of a project  Geostatistics for the feasibility phase  Recoverable resource estimation  Uniform Conditioning  Multiple Indicator Kriging with affine correction  Assessing project sensitivity to SMU dimensions  Grade/tonnage curves  Evaluation of the information effect on ore recovery  Confidence intervals for assessing risk and uncertainty
  4. 4. Isatis: an asset at each phase of a project  Tools for grade control and reconciliation  Grade control  Grade control model estimation and simulation  Journal files and batch processing make quick resource updates achievable within production timeframes  Assess grade uncertainty for short term planning  Risk curves  Confidence intervals and probability maps to help manage grade variability  Tools to integrate production polygons and wireframes for estimation, simulation and reporting  Visualise and check results in 3D
  5. 5. Isatis: a solution that gives you control  An integrated and comprehensive set of tools for mining geostatistics -> use the right tool for your situation  Estimation  Simulation  Linear, non linear  2D, 3D  Univariate, multivariate  Integrated tools
  6. 6. Isatis: a solution that gives you control  Robust, reliable & transparent -> Have confidence in the software tools -> Build an audit trail as you work -> Demonstrable tools and work flows  Underlying algorithms research based, mathematically sound and tested  Detailed reporting at each step  Flexible and effective workflows -> effective and repeatable with scripting tools (journal files)
  7. 7. Tools for data acquisition & management  Integration  Statistics  Spatial statistics  Visualisation  Identify trends  Validation  Validation  Find duplicates  Data errors  Missing values  Sample number errors  Assess impact of outliers
  8. 8. Management tools: integrating data  Work with all available data in Isatis  Points, drill holes, block models, wire frames, faults, polygons  Data types: assay, density, geology, geophysics  Multivariate capabilities  Migrate tools  Share data and objects with other systems  Import/Export interfaces or direct links  Datamine Vulcan  Gems Whittle  GoCAD ArcView  ASCII, CSV, ODBC, XLS, LAS files
  9. 9. Tools for spatial data analysis  Unique interactive and dynamically linked tools  Basemaps  Histograms  Scatter Diagrams  QQ-Plots, PP-Plots  Experimental Variograms  Variogram clouds  Variogram maps
  10. 10. Advanced data analysis  Perform in-depth data analysis  Manage clustered data  Search for duplicates  Regularise  Detect and handle data anomalies  Identify inhomogeneity  Assess domain boundaries  Soft and hard boundaries may be defined for accurate domaining
  11. 11. Variography  Tools designed to help identify the important spatial features of the data, all dynamically linked  Variograms, clouds and maps  Fast and precise  Full range of variogram types available supporting most estimation, simulation and other tasks
  12. 12. Variogram Fitting  Tools for precise model fitting  Interactive  Visual  Efficient  Robust  Model manipulation tools, eg univariate->multivariate  Tools to evaluate the model  Visualisation  Cross validation tests
  13. 13. Tools for in-situ resource estimation  Estimation methods  Kriging  Indicator kriging  Validation tools  Reporting tools  Visualisation tools  Documentation tools  Work flow tools
  14. 14. Multivariate capabilities  Use secondary variables to improve estimation quality with a Multivariate approach to resource estimation  Isatis offers:  Genuine Multivariate Variogram Fitting  Principal Component Analysis  Co-kriging  Co-simulations
  15. 15. Multivariate capabilities  Identify correlations between variables with multivariate statistics  Characterize the spatial behavior of variables  Takes specific spatial continuity of the mineralization into account
  16. 16. Tools for recoverable resource estimation  Gaussian based methods  Interactive Gaussian anamorphosis fitting  Uniform Conditioning by kriged panel grade  Change of support with option for separate estimation of information effect  Indicator methods  (Multiple) Indicator Kriging  Variogram model manipulation (uni to multi)  Indicator pre- and post-processing  COS by affine correction  Grade tonnage curves
  17. 17. Assessing resource sensitivity to SMU size  Evaluate the global recoverable resources (ore, metal quantities) from Grade-Tonnage curves according to SMU size and economic grade cut-off  Various techniques are available to check the Block Support Effect:  Uniform Conditioning  Global Correction (through the anamorphosis function)  Conditional simulations Tonnage vs CutoffMean Grade vs Cutoff Global change of support
  18. 18. Assessing resource sensitivity to SMU size  Resource evaluation based on a fixed SMU size and a an economic cut-off using non-linear techniques Disjunctive kriging, Uniform conditioning, Indicator kriging -> allow to quickly assess the grade-tonnage curves based on panel values Individual SMU Panel of SMU ’s Exploration Drilling Grid
  19. 19. Evaluating the information effect  Take into account the impact of additional (grade control) drilling- Anticipate the ore/waste decision at the feasibility stage to avoid mis-classification at the production stage
  20. 20. Tools for simulation  Simulating categorical variables (geology)  Simulating continuous variables (grade)
  21. 21. Simulations for geological modeling  Facies modeling: various methods are available (SIS, TGS, PGS, Object-based),  eg: Plurigaussian Simulations (for sedimentary or weathering processes):  model complex formations with different structure orientations and heterogeneous deposits  provide realistic and detailed images of geology and internal structure.
  22. 22. Simulations for geological modeling Boolean & Object based Simulations Courtesy of H. Beucher (ENSMP)
  23. 23. Simulations for geological modeling  Simulation of the geometry Simulation of Kimberlite pipes (visualized with Isatis 3D Viewer) Courtesy of De Beers
  24. 24. Simulation for Resource risk assessment  Explore the grade distribution characteristics with conditional simulations: Provides numerous equiprobable grade values, giving information on their variability Simu #1 Simu #2 anticipate & minimise grade variability at the mill or via stockpiling
  25. 25. Resource risk assessment  Explore the grade distribution characteristics with conditional simulations Provides a series of equiprobable scenarios for ore tonnage, metal, recovered grade Probability that Fe > 50 % Ore Tonnage Metal Quantity
  26. 26. Tools for productivity- journal files  Record or call any Isatis function in a batch file  Very flexible with loops and other programming tools  A good way to build efficient work flows and to document procedures  (example shown…)
  27. 27. Tools to assist resource classification  Assess resource confidence with various methods:  Kriging Variance  direct calculation of Confidence Intervals  Slope of Regression and other kriging parameters for classification  Simulations
  28. 28. Tools to assist resource classification Confidence Intervals from simulations
  29. 29. Tools to assist grade control functions  Customized workflows and powerful batch processing capabilities supports rapid updates of resource models and simulations  Makes regular (even daily) updates with new data possible for grade control purposes  Estimate and report with polygons and wireframes representing individual blasts
  30. 30. Tools to assist grade control functions  Use polygons to report block estimates for input to your resource/mill reconciliation process
  31. 31. Thank you for your attention For more information: Julien TAN– Sales Manager