During the last decade tremendous advances have been made in transforming geoscience and<br>well data into reservoir models with associated properties. This has been made possible through<br>improvements in data integration, quantification of uncertainties, effective use of geophysical<br>modeling to better describe the relationship between input data and reservoir properties, and use<br>of unconventional statistical methods. However still many challenges remain when we are facing<br>with characterization of reservoirs with substantial heterogeneity, thin bedded stacked reservoirs<br>and areas with poor data quality or limited well and seismic coverage. Among the inherent<br>problems we need to overcome are: inadequate and uneven well data sampling, non-uniqueness<br>in cause and effect in properties versus data response, different scales of seismic, log and core<br>data and finally how to handle changes in the reservoir as the characterization is in progress.


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