Integrated Distributed Fibre-Optic Pipeline Monitoring Solution (Φ-OTDR + Interferometric Hotspots + DTS)

Clicks(94) Time : 2025-09-07

1) Objectives & scope (oil & gas / refined products / gas distribution / water trunk mains)

Objective. Deliver along-ROW early leak detection with precise localisation, third-party interference (TPI) and geohazard disturbance recognition, detectability of micro-leaks/low-rate releases, and round-the-clock operation with low false-alarm rates, integrated to SCADA/RTU for actionable dispatch.

Scope. Buried, above-ground and subsea sections; valve stations, facilities and crossings; urban water trunk lines and utility galleries. The system adopts a layered configuration—Φ-OTDR corridor + interferometric hotspots + DTS thermal corroboration—to balance long-range coverage and high sensitivity at critical points.

2) Sensing principles & technology selection

2.1 Phase-sensitive OTDR (Φ-OTDR; coherent Rayleigh DAS)

Principle. External vibration perturbs fibre length/refractive index; the backscattered Rayleigh phase is demodulated coherently into an intensity time series and mapped to distance via round-trip time. Spatial resolution scales with optical pulse width ΔT:

 

with cc the speed of light and nn the group index (e.g., 50 ns → ≈ 5 m). Suitable for multi-event, long-corridor monitoring; detection range and SNR are enhanced via Raman amplification and spatio-temporal reconstruction.

2.2 Sagnac interferometer (linear/dual-loop/Faraday-mirror variants)

Principle. Counter-propagating beams experience differential phase under local perturbation; the fundamental response peaks at a “zero-frequency” operating point. Leak distance RR relates to the modulation frequency fm by:

 

enabling position inversion from the measured fm Linearisations (dual Sagnac, 3×3 couplers) mitigate reciprocity, extend dynamic range and improve localisation accuracy.

2.3 Mach–Zehnder (M-Z) interferometer

Principle. An optical path-difference induces a phase term Δϕ(t) between arms, giving

 

with high response bandwidth and fine localisation; multi-point operation uses orthogonality (dual M-Z / hybrid layouts).

2.4 Distributed Temperature Sensing (DTS)

Principle. Leaks present thermal signatures through adiabatic expansion cooling, phase change and convection, observable as temperature steps or slope breaks on a quasi-stable background; for district heating/thermal pipelines/hot oils—or water mains with strong seasonal contrast—DTS provides thermal evidence to corroborate Φ-OTDR events.

 

3) System architecture (“corridor coverage + hotspot gain + station integration”)

· Corridor layer. Φ-OTDR as the primary channel across the whole ROW; Raman-assisted spans for >100 km reach; sampling bandwidth tuned to typical leak/TPI spectral content (commonly 100–700 Hz).

· Hotspot layer. M-Z/Sagnac units at valves, urban/river crossings and geohazard segments as high-SNR sentinels and secondary confirmation.

· Thermal layer. DTS on thermally sensitive/liquid lines and trunk mains to provide heat-signature evidence at suspect locations.

· Platform layer. Edge–cloud processing, alarm stratification, GIS alignment and SCADA/RTU integration, with event replay and evidential packs (spectra, RMS tracks, cross-correlation localisation) for compliance/claims.

 

4) Cable placement & coupling (construction practice)

· Long-haul buried pipelines. Lay loose-tube cables within protective conduits along the ROW; install coupling anchors (ties/mortar slots) at bends/crossings to improve vibration transfer; use continuous tray/duct routing inside stations.

· Urban water trunk mains. Near-pipe trench placement/duct galleries with acoustic gain features to overcome urban noise and weak water-leak signatures.

· Subsea/near-shore. Wrap with companion/strap cables; deploy interferometric hotspots at valve skids/crossings; observe bend-radius and tensile handling limits.

 

5) Acquisition & processing (Detect → Localise → Classify → Evidence)

1. Pre-processing. Time-base and gain normalisation, banding/striping suppression, 2-D/3-D spatio-temporal reconstruction to raise SNR.

2. Detection. Short-window RMS, band-energy metrics (e.g., 100–150 Hz feature band), adaptive thresholds with background-drift compensation to yield candidate picks.

3. Localisation.

Φ-OTDR: map via Δx=cΔT; refine multi-event centres using peak clustering and cross-correlation.

Sagnac: estimate zero-frequency fm and invert R≈c/(4nfm)

M-Z: phase-difference inversion; dual M-Z/hybrid layouts for orthogonal multi-point localisation.

4. Classification. Feature vectors (bandwidth, spectral shape, envelope modulation, duration, group-velocity coherence) to separate leak/excavator/vehicular loading/water-hammer/wave/anchor drag; a Φ-OTDR+M-Z hybrid demonstrably reduces FAR from ~25 % (single Φ-OTDR) to ~2 % in reported trials.

5. Evidence. Event replays, along-line band-energy sections, A/B tests (valve operations/steady-pressure), and DTS corroboration, outputting location + class + confidence.

6) Representative operating scenarios & tactics

· Pin-hole / slow liquid leaks. Low-frequency windows with long-window integration for weak continuous spectra; where applicable, confirm via DTS step/slope signatures.

· High-pressure gas pin-leaks. Broadband “whistle” peaks + group-velocity coherence; hotspot M-Z confirmation to suppress false alarms.

· TPI (excavators/piling). Mid-band, quasi-periodic spectra; post-localisation, trigger ROW geo-fence workflows.

· Subsea anchor drag/gear snag. Low-to-mid-band, long duration; hotspot interferometers at crossings/valve skids to elevate SNR.

7) Deliverables

An along-line event register (time–chainage–type–confidence–recommended action), layered GIS maps, and evidence packs (spectra/along-line energy/RMS heatmaps/cross-correlation localisation). Performance & compliance reporting includes baseline–monitor consistency, NRMS, FAR/MDR, localisation-error statistics, and system availability (≥ 99 %).

8) Key KPIs (contract/commissioning)

· Localisation error. Φ-OTDR ≤ ±10 m (typically 5–10 m, pulse-width and coupling dependent); Sagnac/M-Z hotspots ≤ ±50–100 m (as demonstrated in field deployments).

· False-alarm rate (FAR). Hybrid ≤ 2 %; single-channel Φ-OTDR managed at ≤ 10–15 % then reduced via fusion denoising.

· Detection latency. TPI seconds-class; continuous micro-leaks minutes-class (configurable).

· Coverage. Single-ended > 10–50 km; Raman-assisted spans to ~ 100 km effective range.

9) Implementation & O&M

Feasibility/route walk-down → ROW & station inventory, coupling challenges, comms/power; System design → cable types, pulse/FS/spectral bands, hotspot nodes and DTS overlays; Construction & acceptance → coupling acceptance at critical segments (controlled excitation/vehicle A-B), baseline acquisition and threshold modelling; Trial run → scripted events (excavation/leak simulation/valve A-B), threshold calibration; Operations → periodic self-tests, version upgrades, feature-library/model online updates for low-FAR operations.

 

10) Risks & mitigations

Reciprocity/low-coupling blind spots → Sagnac linearisations and improved anchoring; hotspot densification. Complex ambient noise → multi-feature fusion and 2-D/3-D reconstruction to raise SNR; classifiers tuned for urban/gallery false-alarm reduction. Range–bandwidth trade-off → pulse optimisation + sectional acquisition + amplification; hotspot interferometers to reinforce high-frequency response. Concurrent multi-events → Φ-OTDR’s intrinsic multi-point capability; Sagnac/M-Z with dual-channel or hybrid layouts for de-congestion.

11) Value proposition (why a Φ-OTDR + interferometric + DTS hybrid is optimal)

Long reach with accurate localisation. Φ-OTDR provides corridor-scale, simultaneous multi-event localisation; Raman gain and reconstruction support 100 km-class spans. Low-FAR operations. Hybridising with M-Z/Sagnac materially lowers false alarms (reported reductions from ~25 % to ~2 %), enabling scalable, steady-state operations. Complete evidential chain. Mechanical/acoustic (Φ-OTDR/interferometry) plus thermal (DTS) triage meets safety/environment/insurance requirements for auditable compliance and claims substantiation.