Using Expert Knowledge in Solving the Seismic Inverse Problem

Authors

Matthew G. Averill, The University of Texas at El Paso
Kate Miller
George R. Keller, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow
Roberto Araiza, The University of Texas at El PasoFollow
Scott A. Starks, The University of Texas at El PasoFollow

Publication Date

3-2006

Comments

UTEP-CS-05-19b.

First (shorter) version published in Proceedings of the 24th International Conference of the North American Fuzzy Information Processing Society NAFIPS'2005, Ann Arbor, Michigan, June 22-25, 2005, pp. 310-314; full paper published in International Journal of Approximate Reasoning, 2007, Vol. 45, No. 3, pp. 564-587.

Abstract

For many practical applications, it it important to solve the seismic inverse problem, i.e., to measure seismic travel times and reconstruct velocities at different depths from this data. The existing algorithms for solving the seismic inverse problem often take too long and/or produce un-physical results -- because they do not take into account the knowledge of geophysicist experts. In this paper, we analyze how expert knowledge can be used in solving the seismic inverse problem.