01943nab a2200193 4500 20260520001757.0 260224s2009 xxu Improved spatial modeling by merging multiple secondary data for intrinsic collocated cokriging nov. 2009 16/06/2010 ; 16/06/2010 7 p. ; 93-99 Transcripción del resumen del autor. There often exist many secondary data that must be considered in geostatistical reservoir modeling. These include multiple seismic attributes, geological trends and structural controls. It is essential that all secondary data are accounted for when estimating a primary variable (e.g., porosity or water saturation) with the precision warranted by that secondary data type. Characterizing the distribution of primary and secondary variables requires multivariate geostatistical techniques. Collocated cokriging is a common technique in geostatistics to account for multiple data types. This technique, however, has a longstanding problem with variance inflation that leads to problems in histogram reproduction. This paper, analyses an alternative method to collocated cokriging. This method, referred to as intrinsic collocated cokriging (ICCK), is equally simple, but ensures histogram reproduction. To improve practical implementation of ICCK in the case of multiple secondary data a novel merged secondary variable approach is developed in this paper. This approach is aimed at merging all secondary data into a single variable, then implementing ICCK with that single variable. It is shown that the proposed technique yields the same results as would be obtained using all multiple secondary variables simultaneously. 1-2 Journal of Petroleum Science & Engineering 69 ARTICULO Babak, Olena 42881 Deutsch, Clayton V. 16110 171126 171126 0 0 0 0 238945 BAAB BAAB 2026-03-05 200045984 0 200045984 2026-03-05 15:13:30 2026-03-05 ARTICULO