Uncertainty from Grain Scale to Reservoir Scale

The usefulness of reservoir modelling, and Earth modelling in general, is being significantly enhanced through incorporation of uncertainty analysis. Indeed the acceptance of geostatistics in general within the oil and gas industry relies largely on the ability of geostatistics to combine modelling of uncertainty with traditional modelling: the best prediction of values. This combination is accomplished by treating variance as a primary variable which has implications for those responsible for data collection. We seek to identify useful data collection strategies and highlight the changes necessary if data are to be used to model uncertainty in reservoir models.