- DeepSense In-Pipe Intelligence for Quick Decisions
How it works
1. Sense
- Parameters measured: temperature, pressure, 3-axis rotation, acceleration/deceleration, ΔP front-rear.
- Measurement frequency: 200 Hz.
- ATEX Zone 2 compliant.
2. Transfer
- Wireless data download.
- Immediate preliminary insights.
- Accessible on field and through dedicated online platform.
3. Understand
- Data-powered identification of restrictions, mismatches, deposits, cleaning status, and pig behavior.
- Generates actionable insights.
Applications of DeepSense Service
Mechanical & Chemical Cleaning
DeepSense verifies how effective each cleaning run really is. By analysing acceleration, pressure and rotation patterns along the line, it highlights residual deposits, restrictions and areas where the pig is not working as expected. This allows you to avoid over-pigging, correct under-pigging and tune pig type, speed and sequence run after run.
Chemical Treatment Monitoring
DeepSense provides an objective view of how chemicals interact with the pipeline. By correlating pig behaviour with internal conditions, it shows whether treatments are actually removing deposits, reducing friction and stabilising the line. You can optimise dosage, contact time and cut unnecessary chemical consumption.
Liquid Displacement
During liquid displacement runs, DeepSense tracks pressure and motion to reveal where liquids accumulate, leading to variations in pig’s motion . This insight helps you refine displacement strategies, minimise slugs and ensure that target sections are effectively swept without overstressing the asset.
Post-Cleaning Checks
After a cleaning campaign, DeepSense confirms whether the line is actually ready for inspection or restart. By comparing the latest run with previous profiles, it highlights remaining restrictions, residual debris or irregular pig motion that may still pose a risk for the ILI operativity.
Routine Monitoring & Trend Analysis
Using DeepSense on periodic runs builds a traceable history of how your pipeline behaves over time. Trends in pressure, acceleration and ΔP profiles reveal gradual changes in friction, deposits or geometry before they become critical. This enables proactive maintenance planning and data-driven integrity decisions instead of reactive interventions.
Planned & Unplanned Maintenance
For both scheduled and emergency interventions, DeepSense quickly identifies bottlenecks and abnormal behaviours that can impact tool passage or cleaning efficiency. With this information, you can adapt pig selection, operational parameters and contingency plans quickly
Physical Defects Mapping
By combining motion, rotation and pressure data, DeepSense can flag locations where the pig experiences unusual forces or restrictions. These signatures often correlate with dents, ovalities or other physical anomalies. The resulting high-resolution vector maps help you target follow-up ILI and field checks exactly where they are needed.
The Sentris Advantage
More Control Inside the Pipe
- Data-driven KPIs
- Immediate feedback loop
- Improved ILI scheduling
Cost Reduction
- Up to 46% reduction in pig runs
- Up to 66% reduction in pigging frequency
- Multi-million savings (based on real case studies)
Simplicity
- Bolt-on installation
- No asset modification
- Minimal equipment
- 100% compatible with standard procedures
Proven in the Field
From offshore deepwater lines to aging onshore assets, DeepSense has proven its capability to reduce risk, improve performance and cut operational costs.
North Sea
CASE STUDY
2022
Challenge
Optimize pigging operations and reduce associated costs in a high-stakes offshore environment.
DeepSense Strategy
Deployed sensors on two different types of rigid pigs to monitor and accurately measure deposits removal on subsequent pigging operations.
Pigging Frequency
Annual Saving
-46%
£7M
CASE STUDY
Southern Europe
2020
Challenge
A critical 1.2 km section showed inconsistent pig behavior. Operators could not determine whether the cause was deposits, mismatched pig types, or internal friction.
DeepSense Strategy
Deployed multiple sensorised pigs to compare their performance, identifying the correct pig type for stable and predictable cleaning results.
Correct pig type identified.
Pigging Accuracy
Operational Impact
Eliminated “hit-or-miss” approach and improved reliability
Performance Metrics & Technical Specifications
| METRIC | VALUE |
|---|---|
|
Report delivery |
Up to 12 hours |
|
Data rate |
Up to 200 measures per second |
|
Operating range |
60 °C – 130 bar |
|
Reduction in pig runs |
−46 % |
|
Reduction in pigging frequency |
−66 % |