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Beyond Correlations: Deep Learning for Seismic Interferometry
IEEE Transactions on Neural Networks and Learning Systems, 2023Passive seismic interferometry is a vastly generalized blind deconvolution question, where different paths through the Earth correspond to different channels called Green's functions; the sources are completely incoherent and not shared by the channels, and the question is to estimate paths (channels) that are not present in the dataset.
Hongyu Sun, Laurent Demanet
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Seismic interferometry vs. static corrections in seismic data processing
Arabian Journal of Geosciences, 2021The attenuation of distortion caused by the shallow layer generates reliable subsoil’s pictures, which static corrections attempt to do, under the assumption of surface consistency. However, such an assumption is frequently invalid, and nowadays, this problem is still unsolved.
Juan Caicedo +2 more
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Body-wave Receiver-pair Seismic Interferometry
Proceedings, 2013With seismic interferometry reflections can be retrieved between station positions. In the classical form, the reflections are retrieved by a crosscorrelation of observations and an integration over subsurface sources. For a specific dataset, however, the actual source distribution might not be sufficient to approximate the source integral.
Ruigrok, E. N., Almagro Vidal, C.
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Seismic interferometry—turning noise into signal
The Leading Edge, 2006Turning noise into useful data—every geophysicist's dream? And now it seems possible. The field of seismic interferometry has at its foundation a shift in the way we think about the parts of the signal that are currently filtered out of most analyses—complicated seismic codas (the multiply scattered parts of seismic waveforms) and background noise ...
Curtis, A. (author) +4 more
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Event-driven Seismic Interferometry with Ambient Seismic Noise
72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010, 2010By cross-correlating recordings of ambient seismic noise, one can retrieve the subsurface reflection response. The quality of the retrieved reflections would depend on the qualities of the ambient noise. In a previous study, we cross-correlated ambient-noise data recorded in a desert area in North Africa and showed that we retrieved reflections.
D. Draganov +4 more
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Groundwater Level Monitoring Tests with Seismic Interferometry
NSG2020 26th European Meeting of Environmental and Engineering Geophysics, 2020Summary The objective of this work is to evaluate whether the seismic passive interferometry technique can be used to monitor undeground water variations in both unconfined and confined aquifers that present different hydrogeological characteristics. We collected ambient vibrations in two different water catchment fields where the water level has been ...
Taruselli M. +3 more
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Source‐receiver seismic interferometry
SEG Technical Program Expanded Abstracts 2009, 2009Seismic (or more generally, wavefield) interferometry allows receivers to assume the role of sources, or vice versa. Recorded waveforms (theoretically, Green’s functions) can be constructed from new ‘virtual’ source positions at which only receivers have been physically located.
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Locate Microseismicity by Seismic Interferometry
Proceedings, 2009We present a new seismic interferometry method to locate microseismicity by crosscorrelating the direct P- and S-waves from repeating sources, e.g., hydro-fracture. Typically microseismic data by surface array are below signal-to-noise ratio for a migration-type approach, and barely pickable for a traveltime-base approach.
T. Bardainne, E. Gaucher
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Seismic interferometry by cross‐correlation or deconvolution?
SEG Technical Program Expanded Abstracts 2008, 2008We discuss Rodney Calvert's work on the Virtual Source method in the context of seismic interferometry. Moreover, we present a systematic analysis of seismic interferometry by cross-correlation versus multi-dimensional deconvolution and we discuss applications of both approaches.
Wapenaar, Kees +6 more
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2014
Controlled-source interferometry and ambient-noise interferometry are becoming important tools in earth science. Ambient-noise interferometry is already one of the most important methods for obtaining high-resolution imaging of the crust and upper mantle from dense continent-sized arrays.
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Controlled-source interferometry and ambient-noise interferometry are becoming important tools in earth science. Ambient-noise interferometry is already one of the most important methods for obtaining high-resolution imaging of the crust and upper mantle from dense continent-sized arrays.
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