Tuesday, June 17

3:15 PM-5:45 PM
Isleta Room

MS26
Estimating Velocities from Surface Seismic Data

The most critical element in prestack seismic processing is the subsurface velocity distribution. It must be estimated from the surface data and possibly very sparsely sampled subsurface measurements. Velocity is most difficult to control precisely in those regions of complex geological structure where it is needed the most. Velocity estimation methods in widespread industrial use are highly interactive, offering the advantages of direct application of human judgement and the disadvantage of very high workload. Partly automatic model based methods might permit the use of much more of the data to constrain the velocity, especially in 3D processing. The speaker in this session will provide an overview of several recently developed velocity estimation methods, all based on some form of automatic data fitting. They will attempt a comparison of advantages and drawbacks in a panel discussion at the end of the session.

Organizer: William W. Symes
Rice University

3:15 Least Squares Velocity Inversion Using Simulated Annealing

R. Phillip Bording, University of Texas, Austin

3:45 Velocity Inversion by Migration-Based Traveltime Formulation

Guy Chavent, Université de Paris-Dauphine and INRIA, France; Francois Clement, INRIA, France; and Yann-Herve de Roeck, IFREMER, France

4:15 Determination of a Smooth Velocity Field with Stereo-Tomography

Frederic Billette and Gilles Lambare, Ecole des Mines de Paris, France

4:45 Velocity Estimation by Differential Semblance Optimization

William W. Symes, Organizer

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