Friday, March 26

Seismic Velocity Estimation

10:30 AM-12:30 PM
Room: Ballroom A

Velocity analysis is the most severe bottleneck in the current methodology for seismic data analysis. Many other steps depend crucially on the accuracy of velocities, yet state of the art techniques are labor intensive and based on oversimplified models of wave reflection and refraction. Contemporary surveys generate so much data that manual techniques cannot sample more than a tiny fraction. The underlying mathematics of velocity estimation has only recently begun to yield to analysis, and as a result some preliminary hints of robust and accurate (partially) automatic techniques are beginning to emerge. The speakers in this session will review recent progress in analysis, numerical implementation, and experimentation with both field and synthetic data using one of these algorithm classes, based on the differential semblance principle.

Organizer: William W. Symes
Rice University

10:30-10:55 DSO for 2D Velocity Estimation Through Local Optimization Process
Hervé Chauris and Mark Noble, Ecole des Mines de Paris, Fontainebleau, France
11:00-11:25 A Framework for DSO in the Common Scattering Angle Domain in the Presence of Multi-Pathing
Sverre Brandsberg-Dahl and Martijn de Hoop, Colorado School of Mines; and Bjorn Ursin, Norwegian University of Science and Technology, Trondheim, Norway
11:30-11:55 Velocity Estimation by Differential Semblance Optimization
A. P. E. ten Kroode and Wim Mulder, Shell Research,The Hague, Netherlands
12:00-12:25 Asymptotic Analysis of Differential Semblance Optimization
William W. Symes, Organizer

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MMD, 11/20/98