Mineral Resource Classification Software

Measured, Indicated, and Inferred Classification

Classify mineral resources using kriging variance, slope of regression, and distance-based criteria. Output classification reports for JORC, NI 43-101, and SAMREC.

K-MINE resource classification applies kriging variance, slope of regression, distance-based criteria, and conditional simulation to assign measured, indicated, and inferred categories to block models. Generate classification boundary wireframes, tabulate tonnage and grade by category, and produce reporting tables formatted for JORC, NI 43-101, SAMREC, and PERC submissions. Track classification changes between estimation updates to support continuous disclosure obligations.

Drillhole Database Management

Store drilling, sampling, and geological data in a unified relational database with automatic validation and multi-user access.

Implicit & Explicit Modeling

Use both methods in one environment for rapid domain generation and precise manual control over wireframes and surfaces.

Multiple Block Model Types

Choose from four block model types including HARP, Octree, and percentage models for different deposit geometries.

Advanced Resource Estimation

Estimate grades using multiple kriging methods with built-in cross-validation and resource categorization.

Quality Assurance & Validation

Automatic checks detect 12 error types including collar mismatches and overlapping intervals before estimation.

Sections and Visualization

Generate cross-sections through drillholes, block models, and geological surfaces with integrated grade display and reporting tools.

Learn more about K-MINE Geology module

Long-term Partners