Abstract
ABSTRACT The effect of equations of state on the performance of compositional grading models to accurately predict compositional variation with depth in petroleum reservoir has been presented. Compositional grading models considered are isothermal model, zero thermal diffusion model, Haase’s thermal diffusion model, and Kempers thermal diffusion model. The performances of these models were simulated based on tuned equations of state. The simulation results were validated with experimental data and the associated error computed as percentage average absolute deviation. The results suggest that selection of suitable equations of state has a significant influence on the performances of the applied compositional grading models.
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