A key to reducing the risks and costs associated with oil and gas expl
oration is the fast, accurate imaging of complex geologies, such as sa
lt domes in the Gulf of Mexico and overthrust regions in U.S. onshore
regions. Prestack depth migration generally yields the most accurate i
mages, and one approach to this is to solve the scalar-wave equation u
sing finite differences. Current industry computational capabilities a
re insufficient for the application of finite-difference, 3-D, prestac
k, depth-migration algorithms. A 3-D seismic data can be several terab
ytes in size, and the multiple runs necessary to refine the velocity m
odel may take many Sears. The oil companies and seismic contractors ne
ed 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 massiv
ely parallel computers (thousands of processors) can be used efficient
ly 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.