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van Riel P., P. Mesdag, H. Debeye, and M. Sams, 2006, Full integration of Previous HitseismicNext Hit data into geostatistical reservoir modeling, in T. C. Coburn, J. M. Yarus, and R. L. Chambers, eds., Stochastic modeling and geostatistics: Principles, methods, and case studies, volume II: AAPG Computer Applications in Geology 5, p. 207-218.


Copyright copy2006 by The American Association of Petroleum Geologists.

Full Integration of Previous HitSeismicNext Hit Data into Geostatistical Reservoir Modeling

P. van Riel,1 P. Mesdag,2 H. Debeye,3 M. Sams4

1Fugro-Jason Netherlands BV Leid Schendam, Netherlands
2Fugro-Jason Netherlands BV Leid Schendam, Netherlands
3Fugro-Jason Netherlands BV Leid Schendam, Netherlands
4Fugro-Jason Malaysia Sdn. Bhd. Kuala Lumpur, Malaysia


Previous HitSeismicNext Hit reflection amplitude data are increasingly used in reservoir modeling to provide information on changes in earth properties away from well locations. In geostatistical reservoir modeling, the most common application is to use Previous HitseismicNext Hit data as background data in some form of comodeling. Previous HitSeismicNext Hit data image reflectors and not earth layer properties. Therefore, prior to use in comodeling, Previous HitseismicNext Hit data must first be transformed into an earth layer property. Typically, the transform is to acoustic impedance using an appropriate Previous HitseismicNext Hit inversion method.

Previous HitSeismicNext Hit inversion methods generate results that are generally band limited in nature, resulting in limits to Previous HitverticalNext Hit resolution. The Previous HitverticalNext Hit resolution achieved can be an order of magnitude below the Previous HitverticalNext Hit model resolution required from geostatistical reservoir modeling, which is in the order of well-log resolution. Hence, in using Previous HitseismicNext Hit data, geostatistical modelers encounter a problem of downscaling, not the more commonly encountered upscaling problem. This difference in scale introduces scatter between the primary data with well-log order resolution and the secondary seismically derived rock property data used in the comodeling. As a result, to preserve Previous HitverticalNext Hit heterogeneity, only limited use of the secondary data can be made in comodeling procedures. This results in models that only partially fit the Previous HitseismicNext Hit data, i.e., only limited use is made of the Previous HitseismicNext Hit information. If the secondary data are more strongly imposed, the fit to the Previous HitseismicNext Hit data improves, but the required Previous HitverticalNext Hit heterogeneity is not preserved. The inability to overcome this difference in scale issue, therefore, limits the value of the application of comodeling methods to integrate Previous HitseismicNext Hit data into reservoir models.

One class of geostatistical methods that overcomes this limitation relies on iterative geostatistical modeling. In these methods, referred to as geostatistical Previous HitseismicNext Hit inversion, the iterative modeling process is conditioned such that the final models generated closely match the Previous HitseismicNext Hit data while maintaining the required Previous HitverticalNext Hit heterogeneity. The application of these methods is computationally expensive relative to comodeling methods but is now practical for large models on today's desktop hardware. Relative to comodeling, geostatistical Previous HitseismicNext Hit inversion methods make full use of the information carried in the Previous HitseismicTop data, resulting in a significant reduction in model uncertainty away from well control.

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