Artificial Intelligent Based Post-Stack Inversion Implementation for Reservoir Prediction on Regional/Local Levels on Example of Mega Seismic Data Cube in Norwegian Sea

The article describes the interpretation of possible sandstones in the Norwegian Sea shelf using 3D post-stack mega seismic, which was inverted using post-stack inversion based on artificial intelligent algorithms. That helped to estimate velocity and density independently that were further used to estimate the volume of clay, porosity, and reservoir quality attribute. The proposed interpretation was verified by using 300 drilled wells including newly drilled ones. We show predictions of sand bodies in the Cretaceous and Jurassic that were properly identified. The presented method helps to add value when working with only post-stack seismic. Taking into account the seismic price and required computing resources, the method turned out to be very efficient.