Multi-attribute analysis

TGS offers neural network or cubic-b spline based multi-attribute analysis. Such an analysis is beneficial if the 3D volume has a reasonably good well control and the wells are representative of the geology in a lateral sense.

Application of Probabilistic Neural Network (PNN) to estimate the P-impedance volume provides more detailed information compared to the conventional model-based P-impedance inversion.  As seen in the examples below, the PNN application for acoustic impedance shows better correlation with the impedance log than the conventional P-impedance inversion.