A cornerstone of our company is innovation and development of technologies that translate into benefits for our customers, improving their practices and adding value to their projects.

Truncated gaussian kriging/plurigaussian kriging

It is a probabilistic method the occurrence of geological units which considers relations contact between geologic units, is a more geological than traditional indicator kriging alternative. The technique is based on kriging multigaussiano truncated Gaussian and method.

Fuzzy remapping

Methodology to correct inconsistencies or errors of classification own geological mapping in relation to the analysis of laws through recoding an algorithm allowing better define the units and therefore estimated resources. The algorithm uses statistical classification techniques, geostatistics and fuzzy logic.

Modeling mineralogy in concentrate supply for quality and / or (bio) leaching

It is critical in many projects the spatial distribution of both species mineral flotation processes as (bio) leaching. GeoInnova with geostatistical techniques coregionalization and cosimulation using laws soundings and mineralogical mapping of sulfides makes estimates of mineral species, which can be incorporated into block models and mine planning, obtaining a characterization of species in food impacting on quality concentrate or varying potential (bio) leaching.

sequential Gaussian simulation with substitution of residues

It is a simulation algorithm laws calculation times decreases at least 20% of the time used by the present methods allows the addition of samples without the need resimular tank. The algorithm is based on the Gaussian sequential scheme and conditioning by kriging.

Deagglomeration by laws

Techniques traditional deagglomeration (declustering) consider laws samples only its spatial configuration, the technique deagglomeration by laws makes a declustering by cells considering the laws as an additional dimension, thus samples spatially grouped but quite different laws they are not redundant in this new space. This technique is important to infer the real and unknown laws, used as input in different geostatistical algorithms distribution.

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