← Back to Sessions

Exploring Source and Structure Sensitivity Kernels of DAS Ambient Noise Correlations

Description: 

Distributed Acoustic Sensing (DAS) technology has transformed seismic monitoring and imaging by converting standard optical fiber cables into dense arrays of virtual seismic sensors, offering continuous, well-distributed, and high-resolution seismic records. This study investigates the sensitivity of DAS ambient noise cross-correlation for several fiber configurations and compares them with standard seismometer ambient noise cross-correlations.

DAS directional response is sensitive to the angle of incidence of seismic energy with respect to the orientation of the fiber. Consequently, the DAS ambient noise cross-correlation spatial sensitivity is influenced by factors such as the geometry of the fiber-optic cable and the location of seismic sources of noise. To improve our understanding of DAS passive seismic interferometry responses to noise source distributions and cable setups, we model their source and structure sensitivity kernels using full waveform modeling and an adjoint approach. This exploration sheds light on the challenges and potential biases associated with employing DAS in passive seismic interferometry, underscoring the importance of understanding DAS responses to diverse noise sources.

By studying these aspects, we can effectively optimize DAS-based experimental setups and bolster the reliability of passive seismic imaging applications. This work lays the foundation for the full waveform inversion of ambient noise cross-correlation of DAS data.

Session: Advancing Seismology with Distributed Fiber Optic Sensing [Poster Session]

Type: Poster

Date: 5/3/2024

Presentation Time: 08:00 AM (local time)

Presenting Author: Laura

Student Presenter: No

Invited Presentation: 

Authors