Optimization of distribution and characterization of sand reservoir by using extended elastic impedance method in "g" old field

To characterize the hydrocarbon reservoir, we need to consider the reservoir's physical parameter. The conventional seismic method could not display all physical parameters in volume data as vertically displayed on well log data. As geophysical method was improved the physical parameters that existing in well log data can be displayed in volume data by using Extended Elastic Impedance (EEI) method. In the proven field, we apply EEI method to enhance fluid distribution and reservoir characterization of the field. EEI method is resulting volume data that representing both lithology distribution and fluid distribution. Lithology distribution is represented by volume data of mu-rho, porosity and gamma ray whereas fluid distribution is represented by volume data of lambda-rho, Vp/Vs ratio, density, water saturation and resistivity. Both lithology and fluid distribution are displayed in sliced volume data. In the result of the study, EEI method produces a considerably good quality of volume data which has EEI spectrum correlation as minimum as 0.50. Also, each of obtained χ angles of physical parameters is well distributed according to projection categories that were introduced by Connolly and most obtained χ angles have only slightly different, if not exactly same, with χ angle values that were obtained by others previous researchers. In general, all used physical parameters clearly show that the hydrocarbon reservoir exists around some structural traps. Most of the reservoirs have fluid content of oil-gas mixing and gas dominated. Additionally, due to un-existing of shear-wave data in the old field, we use shear-wave synthetic data that is derived or generated from other well log data by using a genetic algorithm.