An Integrated Machine Learning–Enabled Workflow for Seismic-Driven Reservoir Characterization Using AVO Attributes, Extended Elastic Impedance, Colored Inversion, and Non-Stationary Property Modeling
We applied machine learning to enhance reservoir characterization by predicting elastic and petrophysical properties from seismic AVO attributes. Using synthetic gathers and a representative wavelet, we trained models at well locations and applied them directly to intercept and gradient volumes, bypassing traditional...