Add location evidence
Map signals to chainage, valve stations and priority sections.
OIL & GAS / PHYSICAL AI
Sense along the pipeline. Put risk into context.
Connect distributed sensing, physical AI and operational context across gathering and transmission pipelines to investigate interference, leak-related signals and changes along the route.
01 / ROUTE INSIGHT
See what happens between the stations.
Pressure and flow describe operating conditions; fiber adds spatial context. From gathering networks to long-distance transmission, connect disturbances with pipeline locations and operating conditions to focus investigation.
Interpret activity
Review construction activity, persistent noise and moving signatures against an operational baseline.
Connect field investigation
Correlate inspections, pressure, flow and field records to support human decisions.
02 / APPLICATIONS
From external activity to subtle operational changes.
Choose observations around specific risks and interpret each signal in its field context.
OX-Sense original scene concepts · Optical paths, equipment, cutaways and anomaly effects are illustrative.
Construction & external interference
Analyse spatial and temporal signatures of excavation, drilling, piling and vehicles to distinguish sustained activity from background disturbances and locate areas for investigation.
Leak-related acoustic & thermal anomalies
Pressurised leaks can produce noise, vibration and local temperature changes. Assess DAS or DTS against fluid and site conditions, and cross-check observations with pressure and flow.
Pig activity & operating baselines
Track moving signatures associated with pig passage and record pump starts, valve actions and flow changes. Understand normal operation before investigating departures from it.
Leak detectability depends on fluid, pressure differential, leak size, background noise and fiber coupling, and requires field evaluation.
03 / SENSING & PHYSICAL AI
From propagating disturbances to grounded event understanding.
Fiber runs alongside the pipeline, outside the pipe. Disturbances couple through soil and cable into observed signals. Propagation principles, installation conditions and engineering constraints inform model development.
Acquire route responses
Assess fiber and coupling to define sensing modalities and equipment connections.
Extract event features
Analyse frequency, duration, spatial extent and movement.
Review in context
Correlate starts, stops, pigging and field activity to produce traceable evidence.
04 / CORRELATED EVIDENCE
Locate the anomaly. Give decisions context.
Fiber observations complement existing pipeline monitoring. Connect location, operating conditions and field feedback across data, models and the platform.
Physical evidence
DAS observes vibration, DTS temperature and suitable strain sensing deformation; each requires appropriate equipment and installation.
Location & operations
Correlate chainage, crossings, pressure, flow and work records to distinguish normal operations from anomalies.
Investigation & feedback
Assess GIS, SCADA or work-order integration and feed investigation results into model validation.
05 / FIELD VALIDATION
Validate applicability under real operating conditions.
Understand target events, fluid and pressure, fiber separation and soil conditions before defining a pilot and acceptance criteria.
Fiber–pipeline relationship
Assess trench layout, separation, sheath and soil coupling to determine whether target signals are observable.
Ground & environmental changes
For settlement, landslide or scour-prone sections, assess strain sensing alongside other observations.
Baselines, blind trials & review
Record production and background activity; use controlled trials to evaluate recognition, location, false alarms and response workflows.
OX-SENSE / FEEL THE WORLD
Start with one pipeline section. Build clearer operational insight.
Discuss fluids, operations, fiber availability and priority risks to define a validation pathway.
Discuss pipeline monitoring