Webinar: Seam 3D Modeling – Challenges and Effective Solutions

Seam deposits like coal, phosphate, or iron ore require specialized 3D modeling approaches because their horizontal extent far exceeds vertical thickness. Traditional cubic block models struggle with these geometries, creating computational challenges and inaccurate layer boundaries. K-MINE offers integrated stratigraphic modeling tools that handle complex layered deposits from exploration through production planning.

Grid-based seam modeling calculates interpolation points as weighted averages and forms 2D matrices where each grid has one block per bed. The HARP model (Horizon Adaptive Rectangular Prism) improves on this by using 10-point blocks that eliminate the stepped appearance at layer contacts. This hybrid approach combines the strengths of grid modeling, triangulation, and grade estimation for more accurate volume and resource calculations.

Real deposits often contain fault systems that divide the field into distinct tectonic blocks with varying layer positions and thicknesses. K-MINE creates separate marker surfaces for each tectonic block before interpolating layers across the entire model. This approach accurately reflects displacement amplitudes and prevents artificial folding artifacts in the geological model.

Vertical drillholes in steeply dipping formations can introduce significant errors when calculating layer thickness. K-MINE solves this by computing normals from triangle faces at each block's prism base, then deriving the true thickness perpendicular to bedding surfaces. The correction markers feature allows fine-tuning thickness and floor positions in challenging areas of the deposit.

Coal seams often split into daughter seams across a deposit area. K-MINE offers two algorithms: interpolating daughter seam thicknesses from adjacent boreholes, or using percentage relationships between mother and daughter layers. Geophysical logs play a crucial role in seam correlation, with marker beds serving as clear identifiers even when difficult to recognize visually.

The software supports multiple interpolation methods including inverse distance weighting, nearest neighbor, and various kriging techniques for both structural and quality assessments. Users can adjust search parameters, anisotropy settings, and validation tools to ensure geological trends are accurately represented in models that support mine planning and resource estimation compliant with NI 43-101 and JORC standards.