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The AAPG/Datapages Combined Publications Database

Journal of Petroleum Geology


Journal of Petroleum Geology, vol.25 (1), January 2002, pp 97-117



B. Russell*, D. Hampson*, T. Todorov* and L. Lines**

*Hampson-Russell Software Services Ltd, 510 715-5th Ave. SW, Calgary AB T2P 2X6, Canada.

**University of Calgary, Dept. of Geology and Geophysics, 2500 University Drive NW, Calgary AB T2N 1N4, Canada.

Corresponding author: B. Russell <[email protected]>

    In this paper, we combine the methods of geostatistics and multi-Previous HitattributeNext Hit reservoir parameter prediction (the multi-Previous HitattributeNext Hit transform) for the integration of seismic and well log data, and illustrate this new procedure with a case study involving the prediction of porosity at the Blackfoot oilfield, central Alberta. The objectives of the survey were to delineate incised, valley-fill sediments within the Early Cretaceous Glauconitic Formation at this field and to distinguish between sand-fill and shale-fill. The input consisted of twelve porosity logs together with a 3D seismic volume and the inversion of this volume. Although an excellent correlation was found between porosity and the initial inverted acoustic impedance volume, the combination of traditional geostatistics and the multi-Previous HitattributeNext Hit transform produced an improved final result.

    Our approach uses well logs to "train" the multi-Previous HitattributeTop transform algorithm. We first extract average porosity values over the depth zone of interest, and compare these values to average seismic attributes over the same zone. Cross-validation is used to show which attributes are significant. We then apply the results of the training and cross-validation to data slices derived from both the seismic data cube and the inverted cube to produce an initial porosity map. Finally, we improve the fit between the well-log values and the porosity map using cokriging.

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