Determination of reservoir thickness and distribution using improved rescaled cokriging

The characteristics of lithologic reservoirs, such as complex channels with distinctly lateral variations and variable thickness, make such reservoir features difficult to identify when using conventional geostatistical methods or applying seismic attribute methods. To decrease the uncertainty and improve the lateral distribution of the predicted map over such features, we present an improved cokriging system which combines well logs and multiple attributes directly, instead of using a data fusion method. The improved technique was applied to predict a distribution and thickness map of a channel system. The results demonstrate that improved our cokriging system can enhance the lateral resolution of the channel and reduce the uncertainty of prediction due to the use of more seismic attributes than traditionally used.