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        1 - Estimation of formation water saturation using cluster analysis, piecewise nonlinear regression and Monte Carlo simulation in a carbonate reservoir, south-west Iran
        Hadi Fattahi zahra Varmazyari Mostafa Yosefi rad
        Estimation of formation water saturation (Sw) using log data is an important approach in the oil exploration and characterization of a hydrocarbon reservoir. Therefore, it seems that the proper prediction/simulation of Sw is essential. The first objective of this study More
        Estimation of formation water saturation (Sw) using log data is an important approach in the oil exploration and characterization of a hydrocarbon reservoir. Therefore, it seems that the proper prediction/simulation of Sw is essential. The first objective of this study was to develop a predictive model for Sw estimation based on hybrid cluster analysis with piecewise nonlinear regression, and after that, using the developed model, Sw was simulated by the Monte Carlo simulation (MCS). In order to achieve objectives of this study, a group of 909 data points was used for model construction and 302 data points were employed for assessment of model. The obtained results of MCS modeling indicated that this approach is capable of simulating Sw ranges with a good level of accuracy. The mean of simulated Sw by MCS was obtained as 0.28 m, while this value was achieved as 0.29 m for the measured one. Furthermore, a sensitivity analysis was also conducted to investigate the effects of model inputs on the output of the system. The analysis demonstrated that RHOB is the most influential parameter on Sw among all model inputs. It is noticeable that the proposed hybrid cluster analysis with piecewise nonlinear regression and MCS models should be utilized only in the studied area and the direct use of them in the other conditions is not recommended. Manuscript profile
      • Open Access Article

        2 - Identification of gas in carbonate rock using wavelet transform
        Hassan Omrani Hashem omrani
        Gas can be diagnosed in clean sand rock by petrophysical log. It is not easy to determine the gas in carbonate rock by petrophysical log. The R.F.T. tool is used to determine the gas in carbonate rock. The fluid density in the rock is determined by calculating the press More
        Gas can be diagnosed in clean sand rock by petrophysical log. It is not easy to determine the gas in carbonate rock by petrophysical log. The R.F.T. tool is used to determine the gas in carbonate rock. The fluid density in the rock is determined by calculating the pressure difference related to depth. The R.F.T. tool has some disadvantages, such as being expensive, taking much time to run, and rock having a neutron porosity of about 15%, and sometimes the R.F.T. tool is stuck in well. This study applies the wavelet transformation, a recent advance in signal analysis technique, to detect reservoir rock fluid. The porosity and water saturation are denoised using the "demy" mother wavelet. At last, the pore hydrocarbon saturation, porosity denoise by the "demy" wavelet, pore volume plot and R.F.T. tool are plotted together in one figure to identify the kind of fluid in sand and carbonate rocks. Manuscript profile