DAS Data Analysis & Interpretation

Program Introduction

This program focuses on the analysis and interpretation of Distributed Acoustic Sensing (DAS) data for subsurface monitoring, seismic imaging, and environmental applications. The course introduces both theoretical principles and practical workflows used in modern DAS studies.

Program Scope

Participants explore DAS-specific data characteristics, acquisition geometries, and processing challenges, as well as advanced analysis techniques used in research, geothermal monitoring, urban sensing, and field-scale deployments. Emphasis is placed 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

Teaching materials are designed to guide participants from fundamental DAS concepts to advanced data analysis workflows. The course emphasizes reproducible processing, interpretation strategies, and integration with conventional seismic methods.

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

Target Audience

This program is intended for researchers, engineers, and practitioners working with DAS or large-scale sensing systems who seek advanced skills in data analysis, interpretation, and applied DAS workflows.