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Capillary pressure curves is of great importance in reservoir characterization. Due to the reservoir heterogeneity, no single capillary pressure curve can be used for the entire reservoir depth. This paper aims to examine the application of different techniques of hydraulic flow unit (HFU) classifications in overcoming the extreme heterogeneity of the reservoir in order to improve normalization of capillary pressure in one of the Iranian carbonate oil reservoirs. In this study, well log, routine and specific core analysis lab data have been used to identify flow units by employing different techniques in a heavy oil carbonate reservoir in the south of Iran. These techniques include gamma ray and density log method, flow zone indicator, capillary pressure curves and Winland parameter. Then, mercury injection data has been used by employing Desouky's method to normalize capillary pressure curves for each identified flow unit. According to this study HFU classification significantly improved normalizing of capillary pressure curves.

Since the world average temperature is on the rise, severe measurements should be considered due to decrease the concentration of greenhouse gases which are the main reason of global warming. Geological sequestration of the CO2 speculated as one of the most efficient method for mitigate the problem. As the injected CO2 stream is not always a pure one, a more accurate assessment of the impurities effects on various part of the sequestration process would be desired. As equations of state are not able to completely support the thermodynamic attributes of impure CO2 injected stream, developed computational modeling would be more appropriate. In this study, due to obtain a way of predicting vapor liquid equilibrium of CO2 binary mixtures, not fully depending on the experimental data, a novel and accurate computational method is presented. This alternative, uses Adaptive Neuro-Fuzzy Interference System (ANFIS) together with Genetic Algorithm as an optimization tool. As a result, the developed model shows a great i Fifth CO

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