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P- and S-wave Separation in Distributed Acoustic Sensing-vertical Seismic Profile (DAS-VSP) Data Using Deep Learning Techniques
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 5th EAGE Workshop on Fiber Optic Sensing for Energy Applications, Jul 2025, Volume 2025, p.1 - 3
Abstract
Summary
We developed a machine learning-based approach for P- and S-wave separation in DAS data. We used the simulation method of separated P- and S-waves for single component data to generate DAS training data. We then trained a machine learning model to simultaneously output DAS-P and DAS-S data, effectively separating P- and S-waves from input DAS recordings. The model was tested on the vertical DAS configuration, demonstrating its ability to effectively separate and image even weaker wave components.
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