3D exploration targeting
We are very encouraged by this discovery. The intersection comes after only four months of exploration in this area, testing two targets generated through GOCAD and 3D modelling of the Central Camp. The intersection confirms the value of our integrated 3D-database and the benefit of integrating traditional and new technologies to generate new targets in this historically prolific area.
Successful 3D targeting depends on recognizing the geological, geophysical, and geochemical criteria of a deposit model in exploration data.
Individual criteria can be categorical variables such as rock type or alteration classification, or continuous variables such as physical properties, geochemistry values, or proximity to geological features. We provide both knowledge-driven and data-driven targeting solutions that enable you to discern high prospectivity areas in complex multi-disciplinary earth models. Our approach is to capture all the relevant exploration criteria in a single model, where the criteria may be combined into a 3D model of relative probability of mineral deposit occurrence. In a knowledge-driven framework, the individual exploration criteria are normalized, scored, and weighted using your deposit knowledge. In a data-driven framework, the relevance and quantitative weighting of individual criteria is determined statistically, based on the correlation between modelled exploration criteria and existing mineral occurrences.
Define normalizations, scores, and weights for each geological, geophysical, and geochemical criteria and then combine them into a mineral potential model. Provides 3D Simple Boolean Logic and Multi-Class Index Overlay methods.
Uses 3D weights-of-evidence statistical analysis to provide an unbiased analysis of the spatial relationships between existing mineral occurrences and the modelled exploration criteria. This process helps to determine which input data have the greatest correlation to known mineralization, and thus are the most effective in identifying new prospective areas. Produces an output 3D model of mineral occurrence probability.
A complete software workflow interface for applying either knowledge-driven or data-driven targeting methods. It provides users with quantitative analysis and advanced visualization tools to identify and rank identified targets. The workflow dynamically guides you through an expert process yielding reliable and repeatable results.
Build and analyze integrated, quantitative, multi-disciplinary 3D earth models with the power of 3D-GIS. Get all the essential tools required for the modelling of structure and geological contacts, as well as defining block models as rectilinear or stratigraphic 3D grids. Scalar and vector properties may be modelled on all objects using a wide range of property modelling tools. Through this platform, create the exploration criteria block model that is required for 3D mineral potential modelling.