Abstract

Seismic data and well datasets has been integrated to provide an estimate of the sub-surface acoustic property of the study area situated in one of the most prolific AssamArakan basin of the Indian subcontinent. Post stack inversion study has been used to integrate Acoustic impedance of the established hydrocarbon bearing sands to derive estimates of the potential distribution of reservoir sands in integration with the computed AI attribute through electrologs. In similar analogy Porosity, Resistivity and Vshale volumes through EMERGE study have been generated to delineate the aerial distribution of reservoir sand facies over the 3D volume.