Using expert knowledge in solving the seismic inverse problem

  • Authors:

  • Matthew G. Averill;Kate C. Miller;G. Randy Keller;Vladik Kreinovich;Roberto Araiza;Scott A. Starks

  • Affiliations:

  • Department of Computer Science, Pan-American Center for Earth and Environmental Studies, University of Texas at El Paso, El Paso, TX 79968, USA;Department of Computer Science, Pan-American Center for Earth and Environmental Studies, University of Texas at El Paso, El Paso, TX 79968, USA;Department of Computer Science, Pan-American Center for Earth and Environmental Studies, University of Texas at El Paso, El Paso, TX 79968, USA;Department of Computer Science, Pan-American Center for Earth and Environmental Studies, University of Texas at El Paso, El Paso, TX 79968, USA;Department of Computer Science, Pan-American Center for Earth and Environmental Studies, University of Texas at El Paso, El Paso, TX 79968, USA;Department of Computer Science, Pan-American Center for Earth and Environmental Studies, University of Texas at El Paso, El Paso, TX 79968, USA

  • Venue:
  • International Journal of Approximate Reasoning
  • Year:
  • 2007

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Abstract

For many practical applications, it is important to solve the seismic inverse problem, i.e., to measure seismic travel times and reconstruct velocities at different depths from these 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.