Abstract

3D seismic inversion in integration with petro-physical properties has been qualitatively and quantitatively used in reservoir characterization of Miocene Carbonate reservoir (L-III) in west part of Mumbai High, situated in western offshore of India, to reduce the uncertainties in placement of exploratory and development locations. L-III is the main producing reservoir in Mumbai High and more than a thousand exploratory and development wells have been drilled in whole of Mumbai High. Yet, proper placement of well locations is a challenge due to high heterogeneity in the area. The aim of study was to accurately define better porosity pods in L-III for proper placement of development and exploratory locations to avoid dry hole drilling. Seismic inversion was carried out over post stack PSTM data. Top of reservoir and other horizons were accurately correlated using impedance data. Petro physical study was carried out by cross plotting different reservoir parameters with well impedance and inverted impedance volume was calibrated with reservoir parameters. Since effective porosity in this area does not show linear relationship with impedance, Multi Attribute Analysis was not successful in computing porosity. Porosity volume was computed by acoustic impedance using Neural Network algorithm with EMERGE and was used to find out distribution of porosity in the area. Study was used in refinement of placement of exploratory locations and development locations from the new Platform.