Abstract
Most reservoir volume rock properties are stated with some degree of error. The main source of this error can be traced to the estimating procedure of the rock properties throughout the reservoir volume. The main effect of those errors is a resulting uncertainty that will be associated with all reservoir characterization-related works. To treat this uncertainty, we will use a Bayesian network as a new probabilistic reasoning tool in reservoir production prediction and history matching procedures.
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