Up-down Deconvolution in the Presence of Subsurface Structure

Wang, Y.; Grion, S.; Bale, Richard

doi:10.3997/2214-4609.201400704

Cited by 7 publications

(7 citation statements)

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“…This so-called up-down deconvolution (Amundsen, 2001) guarantees ideal source designature and complete surface-related multiple removal for a horizontally layered earth. Wang et al (2010) demonstrate the robustness and success of up-down deconvolution even in the presence of complex geology and with a mildly dipping sea bottom, as in our example. Consequently, Figure 3a shows good structural imaging as well as stratigraphic details in the layers draped over the anticline in the center of the section.…”

Section: Pp and Ps Image Comparisonsmentioning

confidence: 67%

PS imaging of ocean-bottom data

Casasanta

Gray

2015

The Leading Edge

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Opportunities and challenges exist for imaging seismic data acquired using conventional marine sources and receivers on the seafloor. Compared with conventional imaging of sea-surface streamer data, seabed acquisition and processing offer some opportunities to provide higher value of information. One of the opportunities is to use P-wave to S-wave converted reflection energy (PS imaging). Challenges include overcoming the effects of current seafloor receiver spacing, which can be large enough to negate the promised resolution gains and complicate the velocity model-building workflow. A synthetic data set illustrates possible imaging improvements that can result from seafloor acquisition as well as image degradation that can result when seafloor receivers are separated by typical current distances.

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Section: Pp and Ps Image Comparisonsmentioning

confidence: 67%

PS imaging of ocean-bottom data

Casasanta

Gray

2015

The Leading Edge

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“…Amundsen (2001) discusses the method in detail and extends the method to more complex geology. Wang et al, (2009 and2010) show that for a flat seafloor the method has a wider range of applicability than originally assumed. Figure 1 illustrates the principle of updown deconvolution.…”

Section: Methodsmentioning

confidence: 99%

A new approach to remove the water column effect from 4‐D ocean bottom data

Wang

Bale

Grion

2010

SEG Technical Program Expanded Abstracts 2010

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Repeated ocean bottom seismic (OBS) surveys are an effective tool for time-lapse reservoir monitoring. It is desirable to acquire high-fidelity and repeatable 4-D OBS data in order to reveal small reservoir changes. However, compensating for water-column variations occurring between repeated surveys is a challenging task. In this paper, we propose using the up-down deconvolution (U/D) method to remove changes in water velocity and water depth from 4-D ocean bottom seismic data. We successfully apply the U/D method to time-lapse synthetic examples.

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“…(2) where D 1 is a laterally shift invariant term and D 2 is a laterally shift variant term (Figure 1). Wang et al (2010) show that if D 2 is negligible, then equation 1 ( 3 ) Figure 1. In the upper panel the down-going wave at χ only travels through a horizontally layered medium, and in the lower panel the down-going wave "notices" the structure.…”

Section: Up-down Deconvolution In the Presence Of Structurementioning

confidence: 98%

“…On the other hand, up-down deconvolution only requires properly sampled common-receiver gathers and practical experience has repeatedly proven that the method is robust in the presence of complex structure. Wang et al (2010) discuss the reasons for this robustness. In this paper, we expand this discussion and show for a flat seafloor, the method has a wider range of applicability than originally assumed.…”

Section: Introductionmentioning

confidence: 94%

Up‐down deconvolution and subsurface structure: theory, limitations and examples

Wang

Grion

Bale

2010

SEG Technical Program Expanded Abstracts 2010

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In this paper we investigate the use of up-down deconvolution to simultaneously eliminate both source-side and receiver-side multiples in ocean-bottom data processing. In theory, this method is strictly valid for a horizontally layered earth only, but we demonstrate analytically that it is robust even in the presence of structure, provided that at least the sea floor is flat or gently dipping. We successfully apply the method on synthetic and real data examples.

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Up-down Deconvolution in the Presence of Subsurface Structure

Cited by 7 publications

References 0 publications

PS imaging of ocean-bottom data

PS imaging of ocean-bottom data

A new approach to remove the water column effect from 4‐D ocean bottom data

Up‐down deconvolution and subsurface structure: theory, limitations and examples

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