Wellbore & reservoir dynamic monitoring

Methods. Integrated DAS/DTS/DSS together with Fabry–Pérot optical pressure gauges; AI-augmented inversion and modelling; permanent downhole cable systems with surface interrogators.

Deliverables. Production profiling and perforation-interval contribution, acoustic response to hydraulic stimulation, identification of leaks, crossflow and behind-casing channeling, and wellbore-barrier diagnostics (multi-physics coupling of temperature, acoustics and strain), including integrity confirmation for plug-and-abandonment (P&A) barriers.

Value. Real-time visualisation, event typing and precise localisation, condition-based trend forecasting and lifecycle optimisation, with explicit consideration of annular seal performance, cement-sheath behaviour and pressure-transient context.

 

CCUS/CCS & UGS — storage-complex integrity and injection/withdrawal surveillance

Methods. Along-well and along-line DFOS layouts coupled with time-lapse VSP (4DVSP) where appropriate, integrating temperature-field evolution, distributed strain/pressure proxies and micro-vibration signatures with poroelastic–geomechanical context, well tests and operational metering so that injectivity, conformance and containment can be assessed against stratigraphic architecture and caprock seal capacity.
Deliverables. CO₂ plume migration mapping and leading-edge arrival detection, reservoir pressurisation and pressure-front tracking, containment and caprock-integrity assessment with screening of potential leakage pathways (fault/fracture reactivation, wellbore annuli), MRV-ready conformance packs, and, for UGS, base-gas characterisation, fault transmissibility appraisal and bottom-water movement prognosis aligned to storage cycling.
Value. Earlier, defensible evidence of conformance and containment that de-risks permitting and stakeholder scrutiny, enables controlled ramp-up of injection while maintaining safe pressure margins, shortens response time to off-normal behaviour, and reduces contingency and remediation spend through timely, location-specific interventions supported by auditable MRV records.

 

Pipeline integrity & third-party interference (TPI) — buried, subsea and above-ground

Methods. Right-of-way DAS/DTS/DSS forming a continuous vibroacoustic and thermal sensing corridor, with matched-filter libraries and machine-learning classifiers for event triage, thermo-hydraulic leakage modelling for size and outflow estimation, coherent processing for sub-span localisation, GIS-referenced segmentation, and SCADA/RTU integration for control-room actionability across onshore and offshore assets.
Deliverables. Rapid detection and pinpoint localisation of leakage signatures, discrimination of illegal taps, mechanical excavation, anchor strikes, trawl gear and geohazards such as landslide or scour, plus prioritised alerts, event replay and evidence packs suitable for regulatory reporting and claims management.
Value. Material reduction in spill volume and time-to-isolation, fewer false dispatches and patrol miles, improved geohazard situational awareness, extended RBI intervals through condition-based maintenance, and demonstrable compliance uplift that collectively lowers OPEX and environmental exposure.

 

Structural health monitoring (bridges, dams, tunnels, wind turbine)

Methods. Combined distributed and point optics (DFOS + FBG sensing) configured for continuous strain, temperature and dynamic-response capture, with temperature compensation, neutral-axis tracking, crack-initiation recognition, operational modal analysis and fatigue-damage indexing, all orchestrated within a digital-twin or asset-information model to support proof-load tests and in-service surveillance.
Deliverables. High-granularity state-of-health records including load path evolution, joint/connection behaviour, blade and tower mode-shape drift, alarmed thresholds for abnormal dynamics, fatigue-life estimates and targeted remediation recommendations with before–after verification.
Value. Improved safety case and availability, targeted interventions that defer CAPEX by extending service life, reduction of unplanned outages and access costs, and a traceable data lineage that satisfies owners’ and insurers’ requirements for integrity evidence.

 

Municipal infrastructure & smart-city corridors

Methods. DFOS deployed in district-heating, water and gas corridors with reuse of existing telecoms fibres for urban DAS, coupled to acoustic-fingerprint libraries for leak/intrusion classification, anthropogenic-vibration and microseismic surveillance, and integration to traffic, rail and utilities operations platforms for cross-domain correlation.
Deliverables. Online detection and geospatial localisation of leaks, intrusions and tampering, early warning of water-main breaks and pressure anomalies, vibration maps for transport infrastructure, and city-scale dashboards with service-level KPIs and resilience analytics.
Value. Reduction of non-revenue water and fugitive-gas risk, faster restoration times and safer field deployment, OPEX savings via condition-based dispatch, and better urban-resilience planning supported by continuously refreshed, audit-ready evidence.

 

Data & intelligence services — DFOS analytics and governance

Methods. A governed ingestion and time-synchronisation pipeline feeding a “DFOS+AI” model library that blends physics-informed inversion with supervised classifiers and unsupervised anomaly detection, containerised for cloud–edge orchestration behind standardised APIs, with cybersecurity and compliance, lifecycle retention and uncertainty quantification aligned to geological and operational provenance.
Deliverables. Real-time dashboards and alarms with confidence scores, MRV and regulatory packs, root-cause and trend analyses, cross-asset benchmarking, scenario modelling and “what-if” planning, all tied back to stratigraphic/structural context and operational constraints.
Value. Lower decision latency and false-positive rate, higher detection hit-rate on early-stage anomalies, measurable risk reduction and improved ROI as models learn from feedback loops, plus a unified data backbone that accelerates digital-operations programmes without locking clients into proprietary stacks.