Distributed Acoustic Sensing & microseismic event detection

Interested in signal processing, AI, or data science? This project focuses on Distributed Acoustic Sensing (DAS), a fiber optic technology used to detect and locate induced microseismic events.

A single fiber acts as a dense sensor array, producing clear patterns in waterfall plots when seismic events occur nearby. However, DAS systems generate massive datasets, making efficient processing essential.

The goal of this project is to develop a streamlined workflow to extract relevant seismic information and reduce computational load.

Scope
• Event Detection (core): Identify files with microseismic events and filter out noise
• Event Segmentation (optional): Split multi-event files into event-specific windows
• Arrival Time Estimation (optional): Estimate P-wave and S-wave arrival times

What You’ll Gain
• Hands-on experience with real DAS data
• Skills in signal processing and pattern recognition
• Insight into modern seismic monitoring techniques