Abstract

Estimation of Petro physical Parameters like effective porosity (?), water saturation (Sw) & volume of clay (Vcl) using Russian logs have always been a challenging task due to the limited number of log information. Therefore Russian log interpretation has become an important and integral part of well log interpretation for major oil companies. Most of the data in old fields are acquired from Russian tools. These data play a crucial role in reservoir characterization. Russian log interpretation poses different kinds of problems compared to conventional western log interpretation due to the absence of porosity logs. An innovative technique for estimation of reservoir parameters effective porosity (?) & saturation (Sw) have been developed through resistivity (RT) vs ( ?, Sw) transforms in absence of porosity log. This technique is based upon statistical method where a correlation has been established between Resistivity & estimated reservoir parameters (?, Sw) in the new wells. This regression correlation has been applied in Russian wells having RT log. Application of this regression correlation involves a detailed data analysis for identification of same type of lithological environment through histogram method as in Fig. 2, 3, 4. Histograms, regression analysis, cross-correlation are among the statistical processing methods suitable to examine these petrophysical parameters of each wellbore and the validation of these have been done through production data & Archie