000			01943nab a2200193 4500
005			20260520001757.0
008			260224s2009 xxu
245	0	0	_aImproved spatial modeling by merging multiple secondary data for intrinsic collocated cokriging
260			_a _b _cnov. 2009
270			_a16/06/2010 ; 16/06/2010
300			_a7 p. ; 93-99
520			_aTranscripción 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.
581			_a1-2
773	0		_tJournal of Petroleum Science & Engineering _g69
942			_cARTICULO
100	1		_aBabak, Olena _942881
100	1		_aDeutsch, Clayton V. _916110
999			_c171126 _d171126