Abstract

Due to limited availability and quality of data, the complexity of the physics in-volved in predicting flow, and uncertainties in the modeling process, the reservoir model is always plagued by uncertainties. It is, therefore, important to analyze the input data in terms of quality, quantity, and complexities of different scales, review basic assumptions, appropriateness of the modeling workflow with reference to static and dynamic reservoir uncertainties, desired hardware and software tools to reposition the base case model with reasonable certainty for better project evaluation, risk analysis, and integrated decision making.

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