From Bureau of Economic Geology, The University of Texas at Austin (www.beg.utexas.edu).
For more information, please contact the author.

Bureau Seminar, October 14, 2005

Estimating Structural Uncertainty in Seismic Images

Sergey B. Fomel

Abstract:

The structural information contained in seismic images is often accepted by interpreters with certainty. However, there is a significant uncertainty in the structure of seismic horizons caused by uncertainties in velocity analysis. I show that it is possible to estimate structural uncertainties directly and propose a method for parameterizing seismic velocity models and assigning probabilities to them. Along with the most probable model and the most probable seismic image produced by conventional processing, one can create uncertainty attributes that show the statistical variability of seismic structures. Such attributes provide a tool for risk assessment in structural interpretation.