الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Evaluating the relative permeability data is very essential as that almost all hydrocarbon proving reservoirs have more than one fluid. In the non-existence of lab measured test, many correlations were developed to capture an accurate formula for relative permeability data prediction.
The objective of this work focuses on how to calculate the value of exponents incorporated into generalized Corey’s correlation instead of using pre-assumed fixed values and use the estimated values of exponents to predict relative permeability data.
A giant database of experimental results for 750 plugs, covering different types of reservoir rocks and fluid systems, was involved in the methodology development to test its validity and reliability. The collected experimental results were classified according to reservoir lithology and wettability with a certain clustering criteria. Relative permeability data prediction was performed for 750 plugs using the generalized Corey’s correlation and the proposed methodology to estimate exponents. Predicted relative permeability data was compared to the collected actual experimental tests and the prediction results of other common published correlations through extensive statistical analysis.
Statistical analysis showed that the proposed methodology has a significant reliability to predict relative permeability data. Unlike previous published correlations, the methodology honors not only empirical background but also mathematical derivation based on experimental observations. The model is valid for being used for various reservoir fluid systems; water & oil, gas & oil, gas & water, and gas & condensate.