A Parallel Processing Algorithm for Acoustic Tomography
Acoustic tomography is a widely used technique to reconstruct material properties from global wave propagation data. Geophysical applications include pre-stack depth migration  and cross-borehole tomography. Acoustic tomography is also commonly used in nondestructive testing of materials. The utility of the method is restricted by intensive computational demands. In this work, we present a tomographic reconstruction algorithm, including ray tracing, which fully utilizes thesimultaneous computation capability of the Connection Machine. The advantage of the parallel program is the computation time remains relatively constant as the complexity or problem size increases, whereas the time required for a similar sequential program increases rapidly. Results are presented for several synthetic reconstructions, illustrating the utility of this approach for complex problems.
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- 1.D.W. Ratcliff, Mahogany salt images show key role of velocity model, Oil and Gas Journal, 3–53, Oct. 1994Google Scholar
- 3.R.B. Mignogna, R.S. Schechter, H.H. Chaskelis, P.P. Delsanto, R.A. Kline and C. Sullivan, Parallel Processing technique for acoustic tomography of multilayers, in “Review of Progress in Quantitative NDE”, Vol. 12, D.O. Thompson and D.E. Chimenti, ed., Plenum Press, New York, (1993)Google Scholar