Consulting and mentoring services based on high level geostatistics
Geovariances provide consulting services internationally, mainly to the Mining, upstream Oil and Gas, Nuclear Decommissioning and Contaminated Sites industries, but not only. We conduct geostatistics-based studies including sub-surface or oil reservoir modeling, mineral or life resource evaluation, contamination or any soil property mapping, sampling optimization or risk analysis. We are also able to combine our high expertise and experience to respond to unusual issues our clients bring to us.
Unlock the situation and save time
Our consultants have industry experience addressing your challenges and specific issues as well as, being experts in geostatistics, are able to find innovative solutions to address the problems you face. They perfectly know the advanced techniques which will benefit your project.
Be more confident with the results
Our consultants deliver relevant, practical and robust consulting solutions. Our software expertise helps us wisely choose the most suitable methods and tools to process your data properly, deliver controlled and safer models and optimize the results which help your decision making process. No technical, black box answers that you cannot own or implement – only practical, well documented, tailored solutions.
Get quickly the service you need
At your offices or in our premises, remotely or on-site, on an ad-hoc basis or through long-term commitment, our versatile team of consultants is ready to provide immediate flexibility and reactivity to develop efficient geostatistical solutions focused on answering your problems. Running site-specific, specially focused mentoring sessions is one of their specialties.
Feel reassured about your workflows
Our consulting team is committed to helping you whatever your level in geostatistics in order to identify the best solution to your issues. They help you implement appropriate geostatistical approaches, improve your workflows, gain productivity, integrate our software solutions seamlessly with your available software solutions or quantify the benefit of advanced quality control and modeling methodologies.
Hear from our clients
"Fue una excelente experiencia trabajar con Geovariances y su equipo de profesionales, dada su solvencia en estás técnicas de estimación"
"I appreciate the professionalism and sensitivity to my project objectives that Geovariances consultants showed in our meetings."
"We enjoyed their great service and support, their consultants being very professional and flexible with our schedules."
"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."
"I chose Geovariances consultants for their outstanding know-how for non standard applications of geostatistics."
Some of our achievements
MiningComilogMoanda Manganese Mine
3D estimation of the edgesKNSKoniambo Nickel Deposit
Recoverable Resource Estimation using Multivariate Direct Block SimulationBHP Mitsubishi AllianceOperating Coal Mine
Benchmarking local uncertainty characterization using kriging variance, DHSA and conditional simulations
Spatio-temporal optimization of groundwater monitoring network at Pickering Nuclear Generating Station (video)
Contributions of the CETAMA working group n°10 on sampling and radiological characterisation (poster) | Anne Courtadon et Danièle Roudil, CEA Marcoule; Yvon Desnoyers, Geovariances; Didier Dubot, CEA; Guy Granier, IRSN; Catherine Ollivier-Dehaye, EDF
Key Functionalities new module Studio RM 2016 | Presented by Olivier Bertoli at the UC2016 event organized in the UK by Datamine
Geostatistical study to support sustainable remediation of a site with historical lead impact (poster) | Claire FAUCHEUX, Nicolas JEANNEE, Perrine MARTIN , Maarten CUYPERS, Annelies JACOBS
Geostatistical study supporting cost-effective remediation of a site with historical lead impact (presentation) | Maarten Cuypers, Annelies Jacobs, Perrine Martin Nicolas Jeannée, Claire Faucheux
Poster: On measuring the spatial sampling density of a deposit for mineral resource classification | On measuring the spatial sampling density of a deposit for mineral resource classification by Marie-Cécile Febvey, Benjamin Martin and Jacques Rivoirard
Use case 3: post accidental site remediation − CEA | EPJ Nuclear Sci. Technol. 6, 13 (2020) | Yvon Desnoyers and Claire Faucheux, Geovariances; and Nadia Pérot, CEA Cadarache
Development of a user-friendly guideline for data analysis and sampling design strategy | EPJ Nuclear Sci. Technol. 6, 16 (2020) | Yvon Desnoyers, Geovariances and Bart Rogiers, SCK.CEN Belgian Nuclear Research Centre
Utilisation d’un algorithme de classification par Machine Learning pour la caractérisation géomécanique des sols | CFMS 2020 Marie-Cecile Febvey Utilisation d'un algorithme de classification par machine learning pour la caractérisation géomecanique.pdf
Geostatiscal Analysis of Meandering Processes and Channel Migration: Case Study of Modern Analogues for the Long Nab Member, Scalby Formation, Yorkshire, UK | Example of Flumy use