An Investigation of Using Different Saturation Height Functions by Introducing Rock Type Property
Estimation of the water saturation greatly impacts oil-in-place calculations. Saturation-height function is used to predict the saturation in the reservoir for a given height above the free water level. Different saturation-height functions have been presented so far, of which all of them are based upon using laboratory information to estimate water saturation. In this article, first the performance of nine saturation-height methods presented so far is investigated for the overall study of the reservoir. In the next stage, the reservoir has been divided into different rock types and water saturation estimated by different methods in each rock type classification. The results indicated that the Kamalyar and Leverett method with coefficient independent of core properties could be the best and worst options for overall study of the reservoir, respectively. By using the Winland method, the Kamalyar model indicated the minimum average absolute error among the other eight theoretical and empirical methods at both R35 values equal to 0.1–0.5 and 0.5–2 micron, while Sodena and Leverett methods have the highest prediction error for water saturation prediction, respectively. By using the discrete rock type method, for discrete rock type values equal to 8 and 9, the Johnson and Kamalyar models have the minimum average absolute error, respectively. In both discrete rock type values, the Leverett method gives the highest prediction error.
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