Geostatistics for optimizing reservoir characterization
Geostatistics provides the most efficient framework to build accurate and reliable static models of reservoirs.
Geostatistics is valuable at all steps of the geomodeling process:
- Seismic data quality control and enhancement;
- Time-to-depth conversion and optimal mapping of horizons;
- Structural uncertainty quantification;
- Facies distribution in various geological environments;
- Petrophysical properties distribution;
- Uncertainty quantification on Volumetrics.
Geovariances puts its Oil & Gas industry knowledge, continuous innovation and geostatistical expertise at your service to guarantee the quality and reliability of your geological models.
Optimize your reservoir static models
Using our solutions, you can...
Hear from our customers
"The online training was conducted in 10 sessions of 2 hours over 2 weeks. This gave me the time I needed to fully digest the course between 2 sessions and the opportunity to be critical about what I was doing. I definitely recommend Geovariances online training."
"Thanks to the skills of the trainers and the quality of the documents provided it was a very successful experience, one which I would strongly recommend for other E&P teams."
"Being able to exchange data between Petrel and Isatis in a seamless and quick way is crucial for us. We are very satisfied with the the new capabilities of Isatis-Petrel interface introduced in 2014"
“Best Geostatistical toolbox on earth! I’ve been using Isatis since 1995, and have been affilitated with the Paris School of Mines before that. You can’t beat the reliability and the variety of the tools and methods available to solve literally any spatial problem."
“Isatis has proven to be the most effective commercial tool of any I have used for multi-variate data analysis, mapping and modeling over the last 16 years of my career.”
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Using Seismic Attributes to Estimate Net Thickness in Pinch-Out Areas – Marlim Deep Water Turbidite Oilfield, Campos Basin | Presented at 2005 SPE Latin American and Caribbean Petroleum Engineering Conference by R.M. Oliveira, N.M. da S. Ribeiro Júnior, P.R. Schroeder Johann (SPE), L.F.C. Júnior, D.E. Steagall, P.A. Kerber and Marimônica R. J. Carvalho (Petrobras)
Multi-layer Reservoir Modeling | Presented in 2000 by J. Deraisme (Geovariances), O. Allen (Geovariances), D. Renard (Centre de Géostatistiques - ENSMP)
Use of connection constraints for checking and enhancing geological models
Mapping with Auxiliary Data of Varying Accuracy
Geobodies Stochastic Analysis for Geological Model Parameter Inference
Local Geostatistical Filtering Using Seismic Attributes
Use of Connectivity Criteria for Checking and Enhancing Geological Models