Improving Signal-To-Noise Ratio of Distributed Acoustic Sensing Data via Super-Virtual Refraction Interferometry
M. Almarzoug, A. Alshuhail and A. Aldawood
Event name: 81st EAGE Conference and Exhibition 2019
Session: Poster: Near Surface Technologies A
Publication date: 03 June 2019
Info: Extended abstract, PDF ( 627.11Kb )
Price: € 20
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.