Integrating 3D & 4D rock physics inversion data
A better understanding of field and reservoir behavior to mitigate production decline
The uplift in identification and prediction of hydrocarbon sands when using Rock Physics Inversion over Chi angle and Extended Elastic Impedance approaches is presented for a producing asset in Equatorial Guinea, West Africa. Deep water clastic reservoirs with rapid rates of production decline (`30% per year) require continuous phases of infill drilling to fully and effectively deplete the resource. Identification of remaining unswept potential in the fields requires the use of both 3D and 4D seismic data. The 3D data is required for the identification of sedimentary architecture of the reservoir bodies.
The 4D seismic is required to identify remaining oil. A comparison of reservoir details obtained from Extended Elastic Impedance (EEI) and Rock Physics Inversion (RPI) are presented. Their relative accuracy in identifying HC sands is quantified and compared. New areas that were derisked using the RPI data are presented. Integrating the 3D inversion products with 4D inversion products has allowed for the identification and quantification of the unswept potential in the field that will form the basis for the next phase of infill drilling in the asset.