Hampson Russell Tutorial May 2026

Beyond basic AVO, the Hampson–Russell tutorial also demystifies and simultaneous inversion. The tutorial cleverly frames impedance not just as a product of density and velocity, but as a function of angle. By inverting the near and far angle stacks simultaneously, the user can solve for P-impedance, S-impedance, and density.

The central thesis of the Hampson–Russell philosophy is that "seismic data without well control is merely geomorphology." The tutorial emphasizes that AVO attributes are not absolute physical constants but relative measurements that must be calibrated. The practical exercises guide the user through a process of log editing and petrophysical analysis—calculating volume of shale (Vshale), porosity, and water saturation. hampson russell tutorial

The Hampson–Russell tutorial stands as a benchmark for technical education in applied geophysics. Its enduring value lies not in a single equation or algorithm, but in its integrated workflow: starting with well logs, applying rock physics, analyzing seismic angle gathers, crossplotting AVO attributes, and finally inverting for elastic properties. By forcing the user to execute these steps with real data, the tutorial transforms the geophysicist from a passive observer of seismic wiggles into an active quantitative interpreter. It teaches that an AVO anomaly is a hypothesis—one that must be tested against rock physics, calibrated with well logs, and validated by inversion. In an industry where drilling a dry hole can cost millions of dollars, the rigorous, step-by-step methodology of the Hampson–Russell tutorial remains an essential shield against the seductive but dangerous art of simply "picking bright spots." The central thesis of the Hampson–Russell philosophy is

The tutorial transitions from theory to application by addressing real-world seismic noise. It instructs users on how to generate (stacking multiple Common Depth Points to increase signal-to-noise ratio) and how to perform angle stacks (near, mid, and far). The key technical innovation taught here is the weighted stacking process to solve for intercept (A) and gradient (B). Its enduring value lies not in a single