@Article{ober:1998:seismic4,
  author = {Curtis C. Ober and Ron A. Oldfield and David E. Womble and John Van
  Dyke},
  title = {Seismic imaging on the {I}ntel {P}aragon},
  journal = {Computers \& Mathematics with Applications},
  year = {1998},
  volume = {35},
  number = {7},
  pages = {65 - 72},
  note = {Advanced Computing on Intel Architectures},
  DOI = {10.1016/S0898-1221(98)00033-9},
  keywords = {Oil search},
  abstract = {A key to reducing the risks and costs associated with oil and gas
  exploration is the fast, accurate imaging of complex geologies, such as salt
  domes in the Gulf of Mexico and overthrust regions in U.S. onshore regions.
  Prestack depth migration generally yields the most accurate images, and one
  approach to this is to solve the scalar-wave equation using finite
  differences. Current industry computational capabilities are insufficient for
  the application of finite-difference, 3-D, prestack, depth-migration
  algorithms. A 3-D seismic data can be several terabytes in size, and the
  multiple runs necessary to refine the velocity model may take many years. The
  oil companies and seismic contractors need to perform complete velocity field
  refinements in weeks and single iterations overnight. High-performance
  computers and state-of-the-art algorithms and software are required to meet
  this need. As part of an ongoing ACTI project funded by the U.S. Department
  of Energy, we have developed a finite-difference, 3-D prestack,
  depth-migration code for the Intel Paragon. The goal of this work is to
  demonstrate that massively parallel computers (thousands of processors) can
  be used efficiently for seismic imaging, and that sufficient computing power
  exists (or soon will exist) to make finite-difference, prestack, depth
  migration practical for oil and gas exploration.}
}

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