Increasing data volume and complexity calls for powerful interpretation and interpolation tools. We take advantage of advanced geostatistical analysis in harnessing the full potential of GOCAD Mining Suite. Our asset team conducts exploratory data analysis in order to better understand the relationships between geological, geochemical, and geophysical data sets. We offer conventional linear interpolation solutions to generate grids, soil maps, block model properties, etc. We also have the expertise and technology for better managing geological project risk using non-linear interpolation methods, such as conditional simulation and multipoint simulation using training images. These approaches are well known in the oil and gas industry and constitute an excellent way to optimize drilling grids and sampling spacing to decrease exploration cost.
At Mira Geoscience we have expertise in applying machine learning algorithms as custom solutions to complex geological and geotechnical problems. Our team is proficient at identifying the right algorithm to solve a given problem and evaluate its performance in prediction outcomes.

We apply our advanced geological modelling and geophysical inversion capability to create a fully integrated interpretation that captures all the relevant exploration criteria in a single earth model. Exploration criteria are combined using knowledge-driven and data-driven frameworks into a 3D model of relative probability of mineral deposit occurrence that can be used directly for drillhole targeting decisions.
Our team works across the complete spectrum of geophysical techniques. We provide analytical and interpretational value in ore body detectability analysis, survey design, geologically-constrained inversion, 3D geological modelling, integrated interpretation, drillhole targeting, contract geophysical research, and geophysical software development.

GOCAD Mining Suite
Geoscience INTEGRATOR
Geoscience ANALYST