Consulting and mentoring services based on high level geostatistics

Geovariances provide consulting and mentoring services worldwide, mainly to the Mining, Energy, Nuclear Decommissioning, Contaminated Sites, and Geotechnical engineering industries, but not only. Our versatile team of consultants combines their extensive experience in using our software and Python with their high level of geostatistics and data science expertise to find innovative solutions to your specific issues.

Their professionalism and flexibility allow them to deliver relevant, practical, and rigorous consulting solutions quickly. Their software experience and industry knowledge help them choose the most suitable methods and tools to process your data properly, deliver controlled and safer models and optimize the results that help your decision-making process. In addition, they have extensive knowledge of communication requirements worldwide and are qualified to prepare independent technical reports in many international jurisdictions.

Mining

We help you improve production and economic performance.

Our services include:
– Geological and metallurgical domain definition using machine learning techniques,
– Resource estimation and classification (according to NI 43-101 and JORC, among others),
– Optimization of short, medium, and long-term estimates,
– Recoverable resource estimation (estimation of tonnage, metal quantity, and grade above chosen cutoffs) and SMU modeling,
– Resource uncertainty characterization,
– Drill hole spacing optimization.

Contaminated Sites and Nuclear Decomissioning

We help you design more effective remediation and decommissioning scenarios.

Our services include:
– Detailed data analysis and quality control and delivery of critical statistics,
– Optimization of investigation density and location,
– Delimitation of contamination sources and concentrated pollutions,
– 3D modeling of deep contamination
– Quantification of masses of contaminants and volumes of soil to be treated according to remediation thresholds,
– Classification of contaminated  areas and wastes with a quantified risk analysis,
– Optimization of waste treatment routes,
– Sizing of management solutions (mass balance, cost-benefit balance, excavation maps, etc.).

Geotechnical engineering

We help you improve your understanding of ground conditions and better handle risks.

Our services include:
– 3D modeling of the geology and geotechnical parameters,
– Subsurface variability characterization,
– Geotechnical risk characterization with the delivery of several scenarios (for example, of the parameters measuring the geomechanical constraints or soil deformation),
– Modeling of aquifer geometry,
– Optimization of measurement networks.

Oil and gas

We help you assess better the economic viability of your project.

Our services include:
– Filtering of acquisition or processing artifacts in seismic cubes,
– Merging of seismic cubes,
– Time-to-depth conversion,
– Definition of stratigraphic units,
– Lithofacies and geology modeling,
– Assistance in petrophysical and geomechanical modeling,
– Geobodies connectivity analysis,
– Identification of spill points and delineation of potential reservoir traps,
– Production of various scenarios of potentially recoverable resources and gross rock volumes.

Air, water, soil, bioresources, and other sectors

We help you reveal the information behind your data.

Our services include
– Air quality monitoring: mapping of pollutants, air quality indices or population exposure to air pollution, optimisation of measurement networks.
– Bathymetry: seabed mapping, uncertainty analysis.
– Bioresources (forestry, fishery, ..): stock assessment, health risk evaluation.
– Precision agriculture: yield mapping, identification of homogeneous areas.
– Any sector dealing with spatial data, i.e. climatology, geochemistry, epidemiology, archaeology: mapping, risk analysis.

Automation, customization and review of workflows

We help you be more efficient with our software solutions and quickly deliver the results your company expects.

Our services include:
– Automation of estimation routines,
– Optimization of estimation parameters,
– Review and optimization of your current process,
– Converting routines from Isatis or other software to Isatis.neo,
– Building and delivery of workflows using Isatis.neo and Python packages,
– Mentoring to assist you in setting up your workflow based on your data and objectives.

Discover our publications

Learn more about our consultants

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Hear from our clients

"Fue una excelente experiencia trabajar con Geovariances y su equipo de profesionales, dada su solvencia en estás técnicas de estimación."

Hugo W. Rios, Chief Resource Modeling Geologist - Gold Fields, Peru
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"The 2-day mentoring session I’ve had with Geovariances consultants was a worthwhile experience. I appreciate the professionalism and sensitivity to my project objectives that Geovariances consultants showed in our meetings."

Donald A. Keefer, Director, Earth Systems Visualization Laboratory - University of Illinois, USA
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"We have required Geovariances to work with us on several occasions over the past 10 years. Each time, we enjoyed their great service and support, their consultants being very professional and flexible with our schedules."

Monique Le Guen, Geology Department Manager Resources & Reserves - Eramet Nickel Division, France
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"Today, exploring a deposit or exploiting a mine cannot be optimal without geostatistics. Geovariances has conducted several high-quality studies for Kazzinc thanks to a rigorous, precise and constructive dialogue between both companies."

Pierre Vix, Consultant - Kazzinc, Kazakhstan
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"I chose Geovariances consultants for their outstanding know-how for non standard applications of geostatistics."

Dr. Matthew Field, Consulting Geologist - Diakim Consulting Ltd
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For which markets

Mining Industry

Mineral resource estimation

Oil & Gas Industry

Reservoir characterization

Contaminated Sites | Nuclear Decommissioning

Contamination characterization

Air-Soil-Water-Bioresources and more...

Mapping and uncertainty assessment

Some of our achievements

  • Mining
    Yamana

    Automation of a resource estimation workflow using Python and batch coding.

    KNS
    Koniambo Nickel Deposit

    Recoverable Resource Estimation using Multivariate Direct Block Simulation

    BHP
    Operating Coal Mine

    Benchmarking local uncertainty characterization using kriging variance, DHSA and conditional simulations

  • Oil and Gas
    Woodside

    Filtering and merging of velocity cubes

    Repsol

    Characterization of a stochastic inversion

    Circle Oil

    Characterization of seismic data with connectivity criteria

  • Nuclear Decommissioning
    CEA, France
    Marcoule

    Estimation of contaminated soil amounts and contamination levels and geological and underground-layers mapping.

    Onet Technologie, France

    Geostatistical deconvolution to
    find and locate punctual sources.

    Framatome, France

    Metallographic characterization by variographic analysis and geostatistical simulation of local segregation microstructures.

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Resources

video
video
Download the White Paper

Use of Simulations for Mining Applications

Linear interpolation techniques – such as kriging – are inappropriate for dealing with issues that require a full characterization of spatial distribution (for example, probability of exceeding a threshold, variability of a product per mining period, recoverable resources at various cut-offs, etc.).

Only conditional simulations reproduce the true variability of your orebody. They are flexible in their application to complex mining processes and uncertainty assessment.

Through Geovariances’ multiple experiences in developing a variety of simulation strategies in different environments: kimberlite pipes, turbiditic and carbonate reservoirs, porphyry copper, alteration and hyd,rothermal type deposits, learn how geostatistical simulations can help in resource estimation and classification.

vignette-wp-hydrogeological-facies
Download the White Paper

Hydrogeological Facies Modeling

Stochastic Methods for geological modeling and links with fluid flow simulations

Whatever the application domain – oil & gas production, aquifer pollution characterization, uranium production by lixiviation – characterizing the geological parameters and capturing their variability is essential to ensure realistic flow modeling…

Time to Depth Conversion
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Time to Depth Conversion

Time to depth conversion of geological surfaces is critical for structural model building. Quantifying the uncertainty attached to the conversion is also of primordial importance for assessing GRV uncertainties. Traditional velocity models used in time to depth conversion could benefit from geostatistical techniques used in data integration. The advantage of using geostatistical methods is that they fit the data in one step and allow quantifying the uncertainty attached to the prediction by mean of the generation of equiprobable realizations.

Through Geovariances long-lasting experience in geostatistical depth conversion studies, learn how geostatistics helps you improve the accuracy of your reservoir structural model and assess the uncertainties on surfaces.

Methodologies for advanced mapping and applications to Geological Modeling
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Mapping with auxiliary data

Through this white paper, discover how you canimprove significantly map reliability and quality by incorporating various sources of information in the interpolation process.

This document details the different methods for assimilating various sources of information, taking into account the reliability of each source and how the uncertainty associated with any mapping result can be estimated and reduced.

Data Quality Control
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Data Quality Control

Before starting an evaluation of the contamination leading to decision-making tools for site clean-up, it is essential to ensure data quality. Thus, based on solid and reliable foundations, uncertainties occurring during the different steps of the decision process will be better controlled and the final quality of the project improved.

The objective of this white paper is to assess at best the validity of the data through visual, statistical and geostatistical basic tools before going further into their analysis.

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