Predicting the gas resource potential in reservoir C-sand interval of Lower Goru Formation, Middle Indus Basin, Pakistan

Abstract The integrated study of seismic attributes and inversion analysis can provide a better understanding for predicting the hydrocarbon-bearing zones even in extreme heterogeneous reservoirs. This aims to delineate characterize gas saturated zone within reservoir (Cretaceous C-sand) interval Sawan field, Middle Indus Basin, Pakistan. hydrocarbon bearing is well identified through attribute along sand channel. sparse-spike has efficiently captured variations parameter (P-impedance) prospect. Inversion results indicated that relatively lower P-impedance values are encountered predicted To further reservoir, geostatistical techniques comprising multiattribute regression probabilistic neural network (PNN) applied predict effective porosity reservoir. Comparatively, PNN targeted property more its estimations on entire volume. Furthermore, significantly gas-bearing confirmed channel as major contributor accumulation area. These estimates appropriate agreement with each other, workflow adopted here be various South Asian regions other parts world improved characterization