Saturation pressure is critical parameter of reservoir fluids which significantly affects petroleum engineering calculations. Accurate measurement of saturation pressure from laboratory experiment is very time, cost, and labor intensive. Therefore, it is favorable in most cases to achieve this parameter from empirical correlations. Three well-known models for estimation of saturation pressure from gas chromatography data include Elsharkawy model (EM), Soave-Redlich-Kwong (SRK), and

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... (PR) equations of states (EOSs). This model proposes a novel approach, called committee machine, to reap beneficial advantages aforementioned three models through the combination of them. Committee machine produces a sophisticated model which performs in cooperation of EM, SRK and PR EOSs. Results indicated that CM model enhanced the accuracy of final prediction and performed more satisfyingly compared with individual model acting alone.