DAS data analysis & interpretation

Program introduction

This program covers analysis and interpretation of Distributed Acoustic Sensing (DAS) data for subsurface monitoring, seismic imaging, and environmental applications, combining theoretical principles with the practical workflows used in modern DAS studies.

Program scope

DAS-specific data characteristics, acquisition geometries, and processing challenges, plus analysis techniques used in research, geothermal monitoring, urban sensing, and field deployments. Emphasis on large-scale data handling and signal enhancement.

Program topics

DAS acquisition principles and sensing physics:

• DAS signal characteristics and noise sources
• Processing and denoising of DAS data
• Seismic, microseismic, and ambient noise applications
• Case studies from real DAS deployments

Courses & teaching materials

Materials guide participants from fundamental DAS concepts to advanced data analysis workflows, with an emphasis on reproducible processing and integration with conventional seismic methods.

Resources include lecture notes, slides, and hands-on exercises based on real DAS datasets from research and field applications.

Target audience

Researchers, engineers, and practitioners working with DAS or large-scale sensing systems who want to build advanced skills in data analysis, interpretation, and applied DAS workflows.