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Ocean Science An interactive open-access journal of the European Geosciences Union

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Ocean Sci., 6, 431-439, 2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
20 Apr 2010
First images and orientation of fine structure from a 3-D seismic oceanography data set
T. M. Blacic and W. S. Holbrook University of Wyoming, Geology and Geophysics Department, 1000 E. University Ave., Laramie, WY 82071, USA
Abstract. We present 3-D images of ocean fine structure from a unique industry-collected 3-D multichannel seismic dataset from the Gulf of Mexico that includes expendable bathythermograph casts for both swaths. 2-D processing reveals strong laterally continuous reflections throughout the upper ~800 m as well as a few weaker but still distinct reflections as deep as ~1100 m. We interpret the reflections to be caused by reversible fine structure from internal wave strains. Two bright reflections are traced across the 225-m-wide swath to produce reflection surface images that illustrate the 3-D nature of ocean fine structure. We show that the orientation of linear features in a reflection can be obtained by calculating the orientations of contours of reflection relief, or more robustly, by fitting a sinusoidal surface to the reflection. Preliminary 3-D processing further illustrates the potential of 3-D seismic data in interpreting images of oceanic features such as internal wave strains. This work demonstrates the viability of imaging oceanic fine structure in 3-D and shows that, beyond simply providing a way visualize oceanic fine structure, quantitative information such as the spatial orientation of features like fronts and solitons can be obtained from 3-D seismic images. We expect complete, optimized 3-D processing to improve both the signal to noise ratio and spatial resolution of our images resulting in increased options for analysis and interpretation.

Citation: Blacic, T. M. and Holbrook, W. S.: First images and orientation of fine structure from a 3-D seismic oceanography data set, Ocean Sci., 6, 431-439, doi:10.5194/os-6-431-2010, 2010.
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