Abstract
Geophysical inversion seeks to determine the structure of the interior of the earth from data obtained at the surface. In reflection seismology, the problem is to find inverse methods that give structure, composition, and source parameters by processing the received seismograms. The pioneering work of Jack Cohen and Norman Bleistein on general inverse methods has caused a revolution in the direction of research on longstanding unsolved geophysical problems. This paper does not deal with such general methods but instead gives a survey of some production-type data processing methods in everyday use in geophysical exploration.
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© 1985 Springer Science+Business Media Dordrecht
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Robinson, E.A. (1985). Applied Seismology. In: Smith, C.R., Grandy, W.T. (eds) Maximum-Entropy and Bayesian Methods in Inverse Problems. Fundamental Theories of Physics, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2221-6_8
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DOI: https://doi.org/10.1007/978-94-017-2221-6_8
Publisher Name: Springer, Dordrecht
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