Abstract: Distributed fiber optic sensing (DFOS) provides a continuous, long-range solution for real-time underground oil and gas pipeline integrity monitoring. This seminar presents an integrated DFOS framework combining Rayleigh-based Distributed Acoustic Sensing (DAS) and Raman-based Distributed Temperature Sensing (DTS) over a single core of standard optical fiber. As pipelines traverse diverse geographical domains, coupled computational fluid dynamics (CFD) and numerical scattering simulations show that low-porosity clay optimizes acoustic wave transmission for DAS, whereas high-porosity sand enhances thermal conduction for DTS. Following numerical simulation, the system underwent laboratory validation and an extensive pilot-scale study at a 40 km testbed to evaluate core pipeline events: leaks (evaluated at 12 bar across varying sizes, circumferential positions, fiber installations and soil conditions), third-party intrusions (TPI), and pigging. Results show that HDPE conduit-enclosed fiber installations achieve superior signal-to-noise ratio and sensitivity over bare fiber configurations in old installations. Additionally, a deep learning classification model trained on spatio-temporal acoustic signatures achieved 97.2% overall event classification accuracy across field deployment scenarios.

Event Details
Title: Distributed Fiber Optic Sensing for Long-Range Underground Pipeline Integrity Monitoring
Date: October 19, 2026 at 2:00 PM
Venue: ESB 244 / Google Meet (https://meet.google.com/dcu-zhfv-hku)
Speaker: Mr. Anand V P (EE20D064)
Guide: Dr. Balaji Srinivasan
Type: PHD seminar

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