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.
Hear from our customers
"I really recommend this day of discovery of geostatistics as it gives a rather comprehensive introduction and practical operational applications to lot of domains of the E&P industry."
"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."
What is happening in your industry?
It is of primary importance to build a Facies proportions distribution which is accurate and realistic. This goal can be reached by integr...
Toute l'équipe de Geovariances vous présente ses meilleurs vœux pour 2018
Everyone at Geovariances wishes you a Happy New Year full of successes...
PluriGaussian Model used for simulating heterogeneous deposits | Didier Renard, MINES ParisTech, Centre de Géosciences Equipe Géostatistique
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)
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
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