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Computational methods for improving the resolution of subsurface seismic images. Final report

Technical Report ·
DOI:https://doi.org/10.2172/543727· OSTI ID:543727
The original goal is to devise computational methods for improving the resolution of subsurface seismic images. Initially the research emphasis was primarily on developing methods for efficient ray- theoretic modeling of acoustic waves in triangulated representations of media and on efficient means of modeling waves that travel sub- horizontally in horizontally layered media. Subsequent directions included new efficient methods for imaging the Earth`s subsurface (specifically, 3-D migration via the McClellan transformation, and squeezing dip movement (DMO) for depth-variable velocity), demonstrations of the importance of taking P-wave anisotrophy into account in migration and DMO, the development of algorithms for doing migration and DMO in heterogeneous, anisotropic media, and the development of a methodology for the all-important step of deriving the anisotrophy parameters necessary for imaging of P-wave data.
Research Organization:
Colorado School of Mines, Golden, CO (United States). Dept. of Geophysics
Sponsoring Organization:
USDOE Office of Energy Research, Washington, DC (United States)
DOE Contract Number:
FG02-89ER14079
OSTI ID:
543727
Report Number(s):
DOE/ER/14079--T1; ON: DE97009217
Country of Publication:
United States
Language:
English

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