Suppression of long‐delay multiple reflections by predictive deconvolution

Geophysics ◽  
1978 ◽  
Vol 43 (7) ◽  
pp. 1352-1367 ◽  
Author(s):  
John B. Sinton ◽  
R. W. Ward ◽  
Joel S. Watkins

Multiple coverage seismograms acquired in the western Gulf of Mexico during 1975 by the University of Texas Marine Science Institute contain prominent, long‐delay multiple reflections, which obscure primary reflections from deep within the earth’s crust. Predictive deconvolution operators, containing gaps of zeros with a duration of 4 to 5 sec, proved effective in suppressing the long‐delay multiple reflections in these seismograms. There is a correspondence between the complexity of the long‐delay multiple reflection and the length of the optimal prediction filter, with the more complex multiple reflection requiring the longer prediction filter. Overall, the deconvolved reflection profiles provide an extremely detailed picture of the reflector characteristics producing both the sedimentary and deep crustal reflections. The top of oceanic layer 3, at a two‐way reflection travel of 10.1 sec in the area of this study, exhibits minor localized structure in three of the four profiles that were deconvolved. A possible Moho reflection was identified in one profile at a two‐way reflection traveltime of 11.6 sec, showing little apparent dip across the entire seismic section.

2016 ◽  
Vol 4 (4) ◽  
Author(s):  
Sarah Pfeffer ◽  
Steven Sowa ◽  
R. Malcolm Brown

We report the complete nucleotide sequence of Anabaena sp. 4-3, an efficient producer of sucrose. It was isolated from salt flats near the University of Texas Marine Science Institute in Port Aransas, Texas. The genome may provide insight into the utilization of cyanobacteria as a source for biofuels.


2006 ◽  
Vol 52 ◽  
pp. 203-218
Author(s):  
Linda Maddock

Colin Nicol was a Canadian citizen but spent most of his working life based in the UK, at the Marine Biological Association in Plymouth, and in the USA, at the University of Texas Marine Science Institute at Port Aransas. His most important work was on the physiology of marine organisms, in particular their relationship to light, both natural and biologically produced. He was the first to show that bioluminescence is under nervous control and he made an extensive study of the tapetum lucidum, the reflective layer at the back of the eye of a wide range of animals, particularly those living in dim light. Many other subjects caught his interest and resulted in some 145 publications spanning 50 years.


Geophysics ◽  
1985 ◽  
Vol 50 (12) ◽  
pp. 2742-2751 ◽  
Author(s):  
Enders A. Robinson

A layered‐earth seismic model is subdivided into two subsystems. The upper subsystem can have any sequence of reflection coefficients but the lower subsystem has a sequence of reflection coefficients which are small in magnitude and have the characteristics of random white noise. It is shown that if an arbitrary wavelet is the input to the lower lithologic section, the same wavelet convolved with the white sequence of reflection coefficients will be the reflected output. That is, a white sedimentary system passes a wavelet in reflection as a linear time‐invariant filter with impulse response given by the reflection coefficients. Thus, the small white lithologic section acts as an ideal reflecting window, producing perfect primary reflections with no multiple reflections and no transmission losses. The upper subsystem produces a minimum‐delay multiple‐reflection waveform. The seismic wavelet is the convolution of the source wavelet, the absorption effect, this multiple‐reflection waveform, and the instrument effect. Therefore, the seismic trace within the time gate corresponding to the lower subsystem is given by the convolution of the seismic wavelet with the white reflection coefficients of the lower subsystem. The linear time‐invariant seismic model used in predictive deconvolution has been derived. Furthermore, it is shown that any layered subsystem which has small reflection coefficients acts as a linear time‐invariant filter. This explains why time‐invariant deconvolution filters can be used within various time gates on a seismic trace which at first appearance might look like a continually time‐varying phenomenon.


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