Geovariances has been committed to put scientific excellence and geostatistical innovation at the heart of its industrial solutions. Geovariances provides innovative methodologies, experts and software packages to answer your challenges in mapping, resource evaluation, volumetric estimation, risk analysis. Developer and exclusive distributor of three software packages: Isatis, the industry benchmark software for Geostatistics for more than 20 years, Minestis, the dedicated workflow for mineral resource estimation, Kartotrak, integrated software solution for contaminated site characterization. Training provider in geostatistics. Consulting service provider related to mineral resource estimation, oil reservoir modeling, contamination mapping and characterization, etc. Geovariances reliability also lies on the cooperation with partners all over the world.

Company details

49bis avenue Franklin Roosevelt , AVON , Cedex 77215 France

More Office Locations Locations Served

Business Type:
Software vendor
Industry Type:
Soil and Groundwater - Geotechnical
Market Focus:
Globally (various continents)
Year Founded:
1986
Employees:
11-100
Turnover:
$1,000,000 US - $10,000,000 US

Real know-how and professional expertise in geostatistics

  • 30 years of experience in applying geostatistics to address mine exploration, oil/gas exploration or environmental issues (i.e. contaminated site characterization).
  • Versatile team of highly qualified geologists, mining engineers and geostatisticians with worldwide experience.
  • Regular contributions to international industry, academic conferences and professional journals.

Committed to fully support the industry’s needs by constantly improving its software products and technology:

  • Continuous investment in research and development through research consortium or partnerships with research leaders in their respective industries:

    - Mines ParisTech for the development of Isatis,

    - CEA for the development of Kartotrak,

    - Ephesia Consult for the implementation of their Impala library in Isatis
  • Responsible for the implementation of many significant technical advances over the past 30 years.

Three key sectors of expertise

  • Mining, for mineral resource management optimization,
  • Oil & Gas, for static reservoir model optimization,
  • Contaminates sites, for site clean-up and remediation project optimization,
  • Any field where geostatistics applies including air quality monitoring, civil engineering, fisheries, oceanology, agriculture, forestry, epidemiology, ....

Geostatistics is used for modelling spatial data. It provides accurate and reliable estimations of phenomena at locations where no measurements are available.

Geostatistics has been defined by G. Matheron as 'the application of probabilistic methods to regionalized variables', which designates any function displayed in a real space. At the difference of conventional statistics, whatever the complexity and the irregularity of the real phenomenon, geostatistics search to exhibit a structure of spatial correlation. This accounts for the intuitive idea that points close in the space should be likely close in values. In other words randomness does not mean independence.

What makes geostatistics powerful is its capability to characterize by means of a consistent probabilistic model that spatial structure. Therefore the predictions made using the geostatistical methods are tailored to the intrinsic structure of the variable and not only to the samples numbers and sampling patterns. This spatial structure is characterized by the variogram.

Because of its probabilistic framework, the geostatistical approach is claiming that the descriptions of the reality are subject to uncertainty, which can be quantified and provide efficient decision tools for practitioners and managers.

The domain of application of geostatistics is practically unlimited. Each time experiments are made in a defined space ( i.e. data with coordinates and values), a geostatistical approach may be explored.

Because of the large variety of domains and the related specific problems, many methods are now proposed in literature and software. Basically 2 groups of methods all based on variogram or covariance are available:

  • for mapping or estimating, the variogram is used to interpolate between the data points, this is the kriging.
  • for characterizing the uncertainty on estimates (oil volumes, grade above cut-off, risk of pollution), the same variogram can be used in a different way for making simulations of the unknown reality.

Geovariances vision is to be a world leader in geostatistics and a global solution provider, offering a cutting-edge technology based on a strong research partnership strategy.

Today’s industrial challenges are to find sufficient mineral or oil volumes to supply the world’s increasing demand. Resources are generally deeper and exploration is progressively becoming more expensive and more complex.

Environmental risk controls are a must in a sector where health is at stake and remediation is costly.

In this context, state-of-the-art technologies are essential for efficient decision-making. Geovariances’ offer is part of this needed technology as it provides the sound technology required to achieve the expected level of confidence in models, while rating the risks attached to them.

This is why we maintain our objective on the following targets:

  • To offer our clients a cutting-edge technology based on a strong research partnership strategy
  • To be a global solution provider to meet all kind of expectation from the beginners to the skilled geostatisticians
  • To be geostatistics best supporter to develop new niche-market.

From exploring the most precise data to sharing our expertise with you, we are committed to be your number one partner in geostatistics.