Results 151 to 160 of about 203 (193)
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Reflections on 3D seismic

First Break, 2004
When marine 3D seismic surveys started in the late 1970s, field parameters and processing steps were designed based on signal theroy and physical parameters. The need for larger data volumes and higher processing speed led to techniques that did not really follow the original designs, but gave impressive results rather quickly.
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Sparseness of Seismic Reflectivity Inversion

71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, 2009
Seismic reflectivity inversion using a Cauchy constraint in a least-squares solution is sparser than that from conventional Gaussian regulation and hence is more widely desired by geophysicists when calculating reflectivity series.
Y. Wang, X. Lu
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A neural detector for seismic reflectivity sequences

IEEE Transactions on Neural Networks, 1992
A commonly used routine in seismic signal processing is deconvolution, which comprises two operations: reflectivity detection and magnitude estimation. Existing statistical detectors are computationally expensive. In the paper, a Hopfield neural network is constructed to perform the reflectivity detection operation.
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Seismic reflection and refraction

2013
The seismic-reflection and -refraction methods in near-surface geophysical investigations are based on the introduction of mechanical energy into the subsurface using an active source and the recording, typically using surface geophones, of the resulting mechanical response.
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Processing of Seismic Reflection Data

2016
With the introduction of the digital recording in the mid 1960s, a fundamental change in processing of the seismic data began.
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3D Seismic Reflection Surveying

2016
In the years following the dramatic introduction of the analogue and digital data recording and processing, the main development-trends were in increasing recording channels and in more advanced magnetic tape technology.
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Resolution of seismic reflections

1956
Thesis. (M.S.) Massachusetts Institute of Technology. Dept. of Geology and Geophysics, 1956. ; Bibliography: leaf 71. ; by Robert W. Wylie. ; M.S.
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