Comparative study of Compositional Grading Models in Petroleum Reservoirs
Mohammad Hossain Nikpoor, Riyaz Kharrat, and Zhangxing Chen
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Abstract
Composition of petroleum can vary within a reservoir fluid system, and this variation is critically important to be modeled. In this work we compare different compositional grading models to predict compositional changes in a reservoir with measured data. The goal is seeking the model which best describes these changes in composition of the reservoir fluid.