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• W103060009 abstract "ABSTRACT The objective of the Geoscience Project JOUF-0034, which involved three European oil companies and a number of research institutes located in four EC countries, was to calibrate probabilistic representations of reservoir heterogeneities to actual geological field observations. Three outcropping formations, the deltaic Roda sandstone (Spain), the alluvial fan system of Cajigar (Spain) and the storm deposits of Poulseur/Compagnie du Bois d'Anthisnes (Belgium) were the selected geological objects. For the three sites, the approach was similar: first, extensive geological field work led to the construction of a detailed geological model and to the acquisition of a number of geological field sections on each formation. The sections were then digitized and used as control points in the construction of a ‘reference model’ of each geological formation. The three models probably constitute the most significant results of the project. They describe, as accurately as possible, the geological heterogeneities of each formation at the reservoir scale. The reference models are three-dimensional for Roda and Cajigar, and two-dimensional for Poulseur/CBA. For Roda (and to a lesser degree Cajigar) the last step of the study consisted of simulating oil field appraisals by assuming that only a small number of stratigraphic field sections (or ‘wells’) were known, and reconstructing by geostatistical techniques the architecture of the reference model. This led, for the Roda study, to the development of a novel ‘random genetic simulation’ technique for reconstructing the architecture of deltaic prograding sandbodies. A number of conclusions were drawn from the three studies. The 3D approach proved to be more rigorous than standard 2D correlations of outcropping formations, because it imposes constraints on the spatial consistency of the models. The two-sided interaction between sequence stratigraphy considerations and the analysis of the reference models also proved very fruitful for validating the geological assumptions and understanding their impact on the distribution of heterogeneities. It is worth noting that quantitative geological modeling could only be achieved through a multi-disciplinary approach by geologists and geostatisticians." @default.
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• W103060009 date "1994-01-01" @default.
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• W103060009 title "FROM SEDIMENTOLOGY TO GEOSTATISTICAL RESERVOIR MODELING" @default.
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• W103060009 doi "https://doi.org/10.1016/b978-0-08-042419-4.50007-5" @default.
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