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Abstract

Summary

Distributed acoustic sensing (DAS) offers a cost-effective solution for acquiring dense seismic data. Conventional fiber-optic cables trenched along the surface provide excellent well sampled recordings of surface waves similar to horizontal geophones. Here we focus on near-surface refraction tomography using first arrivals. These arrivals appear weaker on trenched DAS cable due to predominantly horizontal directivity, but innovative processing techniques can efficiently address this issue. Super-virtual refraction interferometry (SVRI) can enhance the signal-to-noise ratio of seismic refraction energy without knowledge of the subsurface model. SVRI is based on seismic interferometry and allows creation of many more virtual shots and/or receivers. By stacking multiple virtual gathers that have the same travel-paths we increase the signal and attenuate the random noise. We demonstrate effectiveness of SVRI to enhance the refracted arrivals on DAS data from a Smart DAS pilot acquired in a desert environment and show improvements in resolution and in depth on the inverted tomograms.

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/content/papers/10.3997/2214-4609.201901122
2019-06-03
2024-04-16

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201901122
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Improving Signal-To-Noise Ratio of Distributed Acoustic Sensing Data via Super-Virtual Refraction Interferometry
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201901122
/content/papers/10.3997/2214-4609.201901122
/content/papers/10.3997/2214-4609.201901122
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