Mitigation of the 3D Cross-line Acquisition Footprint Using Separated Wavefield Imaging of Dual-sensor Streamer Seismic Data

Farouki, Mazin; Long, Andrew; Jones, R. H.; Chim, Yee Ah; Tang, Magdalene; LeGleut, Hui; Lu, Shaoping; Whitmore, D.; Borselen, Roald van

doi:10.3997/2214-4609.20140204

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“…The literature abounds with encouraging results of multiple imaging applied to synthetic or apparent fit-for-purpose field seismic data Farouki et al, 2014;Long, 2014;Lu et al, 2014;Valenciano et al, 2014a;Valenciano et al, 2014b). As simplistic as these examples seem, there are pitfalls associated with this method.…”

Section: Project History and Backgroundmentioning

confidence: 94%

“…In shallow water (depths less than 400 m), a crossline acquisition footprint often degrades the imaging of shallow targets. In extreme cases, noncontinuous imaging of the seafloor results when crossline offsets of the outer streamers are sufficiently large and beyond critical reflection angles for the seafloor (or shallow subsurface) reflection events (Farouki et al, 2014). Figure 2 depicts a fictitious inline acquisition geometry that illuminates the water bottom at location A and a shallow reflector at location B using conventional wavefield imaging.…”

Section: Multiple Imaging Of Dual-sensor Streamer Datamentioning

confidence: 99%

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Wave-equation multiple imaging (WeMi) — Swimming between the flags

Bouloudas

2016

The Leading Edge

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Deghosting dual-sensor streamer seismic data requires separation of the total recorded wavefield into upgoing and downgoing components during seismic preprocessing. Imaging of multiples exploits the wavefield separation process by using the downgoing wavefield at each receiver location as a virtual source. Multiple imaging has been shown to effectively remove shallow-acquisitionrelated artifacts commonly seen on wide-tow marine seismic surveys and improve imaging quality of the shallow overburden. Acquisition design factors, imaging condition, and cross-talk noise are the main factors that determine the effectiveness of separated wavefield imaging (SWIM) of dual-sensor streamer data. (SWIM is a common nontrademarked acronym used in the literature to describe multiple imaging of separated wavefields sampled from dual-sensor streamer data.) In a field trial, acquisition design did not allow for proper sampling of the total wavefield, with the result that multiple imaging did not prove to be as robust a technique as examples in the literature might imply. Understanding the effects of acquisition design parameters on image quality is essential to more successfully apply multiple-imaging techniques with greater relevance on the North West Shelf of Australia.

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