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M-GS - New Spatial Estimation and Simulation Models for More Precision and More RealismNormal access

Authors: C. Magneron and F. Petit
Event name: 70th EAGE Conference and Exhibition incorporating SPE EUROPEC 2008
Session: Geological Modelling (EAGE)
Publication date: 09 June 2008
DOI: 10.3997/2214-4609.20147579
Organisations: SPE, EAGE
Language: English
Info: Extended abstract, PDF ( 1.1Mb )
Price: € 20

Summary:
The majority of the geostatistical models used in the petroleum industry are variogram-based models. The variogram enables to build effective estimation (kriging) and simulation operators by catching the mean spatial correlation inherent to a data set. Despite their popularity, variogram-based models are the subject of several criticisms. The main one is that they should not be able to handle and reproduce precisely the structural complexity of the reality. M-GS models are improved variogram-based models. They are based on an optimized determination of structural and computational parameters. They lead to more precise and/or more realistic estimation and simulation results than conventional variogram-based models. It is shown by four examples regarding gridding (2), noise removal and simulation issues.


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