GeoInnova understands the geological modeling as the foundation of any resource estimation study, focusing around 3 main themes.
- It’s necessary to have a geological and genetic conceptualization of the orebody in accordance with the knowledge and information available
- Define traceable and reproducible estimation units that maximize the predictability of resources estimated
- Creation of 3d “operational” geological models, spatially consistent with the available information and geological conceptualisation
For geological modelling, GeoInnova uses the following approaches:
Traditional geological modelling:
Related to the interpretation of planviews and cross sections of the geological units for the construction of 3D solids or wireframe.
3d probability modeling:
This approach seeks to calculate the probability of occurrence of each geological unit on sites that are not sampled, using methods such as: indicator cokriging, truncated Gaussian kriging.
Stochastic modeling of geological units:
the aim is to build many potential scenarios of the spatial distribution of the geological units, using methods such as: PluriGaussian simulation, Truncated distance SGS (Sequential Gaussian Simulation), which provides transfer functions related to the spatial variability of the units. Besides these approaches, GeoInnova uses an interactive methodology between traditional and probabilistic methods to benefit from both techniques.