WAVE-THEORETIC PREPROCESSING TO ALLOW THE INVERSE SCATTERING SERIES METHODS FOR MULTIPLE REMOVAL AND DEPTH IMAGING TO REALIZE THEIR POTENTIAL AND IMPACT: METHODS, EXAMPLES, AND ADDED VALUE

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2013-12

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Abstract

The research described in this dissertation (1) extends Green's-theorem ghost removal in the space-frequency domain to complicated synthetic (SEAM) and field data, bringing in (and solving) acquisition issues that affect the ability to carry out this program; (2) demonstrates that industry-standard ghost removal in the wavenumber-frequency domain (so-called P-Vz deghosting) can be derived from Green's-theorem ghost removal in space-frequency, thereby providing steps toward the development of new elastic versions of Green's-theorem-derived methods for the critically important open issues involved in on-shore application; and (3) applies Green's theorem to reverse-time migration (RTM), a standard industry method of imaging the subsurface, by providing the first wave-theory imaging for two-way propagating waves.

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Keywords

Deep water, Green's theorem, Gulf of Mexico, Noise

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