Objectives:
This project aims to develop a complete geological and geotechnical dataset and workflow for constructing and evaluating a 3D block model. The dataset will include an original topographic wireframe, geology and fault wireframes, and a drillhole database. A detailed geological description will be prepared, covering rock types, alteration, weathering, folding, faulting, and anisotropy. Both isotropic and anisotropic rock mass domains will be defined, and selected faults will include damage halos with documented characteristics. Final block model dimensions and required parameters will be specified.
The drillhole database will be designed to be comprehensive yet practical, containing core information such as RQD, joint condition (Q or RMR), and ISRM hardness. Optional supplementary data may include fracture frequency, fault zones, alteration, weathering, discrete structural logs, point-load tests, and laboratory data.
The project will determine which geotechnical parameters—such as GSI, ISRM hardness, and rock type – should populate the final block model. These parameters will be visualized on defined vertical sections using standardized color scales to allow clear comparison and validation.
A key component of the project is developing a statistical framework to evaluate interpolation performance. With support from a statistician, the study will incorporate methods such as histogram comparisons, quantile–quantile plots, Student’s t-tests for mean comparison, and F-tests for variance comparison. Cross-validation will also be performed by excluding selected boreholes and assessing the model’s ability to predict parameter values at their locations.
Overall, this project will deliver a structured dataset, well-defined modeling requirements, and a robust statistical approach to validate block model performance, supporting improved geotechnical interpretation and modeling reliability.