At TLE, safety and reliability are at the heart of pipeline operation. Our Internal Leak Detection Systems (ILDS) utilize advanced algorithms to detect and localize leaks rapidly and accurately.
Illustration of a leak being located along a pipeline route. Not measured data.
Internal & external detection
Two Layers of Leak Detection
API says leak detection often uses a multi-layered series of technologies and strategies, and the second edition of API RP 1175 adds the role of fibre-optic sensing. TLE supplies both layers.
Internal
Internal Leak Detection Systems (ILDS, PLDS)
Our Internal Leak Detection Systems (ILDS) utilize advanced algorithms — including E-RTTM, Statistical Analysis, and Volume Balance Methods — to detect and localize leaks rapidly and accurately.
Real-Time Transient Model (E-RTTM)
Negative pressure wave (NPW)
Statistical & Mass Balance Leak Detection
External
Fibre Optic Sensing (FOS)
Our Fibre Optic Sensing technologies transform a single optical cable into a multi-application monitoring network, combining Distributed Acoustic (DAS), Temperature (DTS), and Strain (DSS) sensing.
At TLE, safety and reliability are at the heart of pipeline operation. Our Internal Leak Detection Systems (ILDS) utilize advanced algorithms — including E-RTTM, Statistical Analysis, and Volume Balance Methods — to detect and localize leaks rapidly and accurately.
We combine high-quality instrumentation, redundant communication paths, and real-time data processing to ensure detection sensitivity up to 1% of flow within minutes.
Compliance standards
API 1130
API 1149
API 1155
API 1175
ISO Standards
System highlights
Real-Time Transient Model (E-RTTM)
Negative pressure wave (NPW)
Statistical & Mass Balance Leak Detection
Multi-Stage Alarm Logic & Leak Verification
Integration with SCADA / Historian / Alarm Management
Time Synchronization and Event Logging
Try it yourself
Set a Leak and Watch Three Methods Find It
Place a leak on a pipeline, choose its size and press Play. The simulator runs a negative pressure wave, distributed acoustic sensing (DAS) and distributed temperature sensing (DTS) side by side, so you can see which methods catch it, how quickly, and which miss a small one.
Start from a gas, crude oil or water line, or from a 1 % leak.
Change the pipeline length, the leak position and size, and the product.
Watch each method raise its alarm and report a location as time runs.
Screenshot of the simulator part-way through a run. Illustrative model with assumed sensor performance. Not measured data.
From anomaly to record
How a Leak Is Detected and Reported
API RP 1130 describes computational pipeline monitoring (CPM) as algorithmic tools that help a pipeline controller recognize hydraulic anomalies that could show a leak. Detection is stage one of five and draws on five methods, which are often combined. Pick a method, then follow the same leak through localization, verification, alarm and record, or let the sequence play.
Detection method
Volume / mass balance
Compares the product entering a pipeline segment with the product leaving it, corrected for changes in line pack. A persistent imbalance raises an alarm.
Looks at
Flow in against flow out of a segment
Typical data source
Flow meters and SCADA data
Statistical analysis
Tracks patterns in flow and pressure over time and tests whether the readings fit a leak better than they fit normal operation. Sequential probability ratio tests, for example, are used in some commercial systems.
Looks at
Patterns in flow and pressure readings
Typical data source
SCADA data
Real-time transient model (E-RTTM)
Runs a hydraulic model of the pipeline from live measurements and compares what the model expects with what the instruments report. A difference points to a leak and helps locate it.
Looks at
Modelled hydraulics against measured hydraulics
Typical data source
SCADA data and a pipeline hydraulic model
Negative pressure wave
A sudden loss of product sends a pressure drop travelling along the pipe. Sensors at known positions detect it, and the time difference between them estimates where it started.
Looks at
Fast pressure transients at known positions
Typical data source
High-speed pressure sensors along the line
Fibre optic sensing (DTS / DAS)
An optical cable laid alongside the pipeline adds a second layer along the whole route. Distributed temperature sensing (DTS) reads temperature changes, and distributed acoustic sensing (DAS) listens for the sound of a leak or of digging near the line.
Looks at
Temperature or acoustic signatures along the route
We combine high-quality instrumentation, redundant communication paths, and real-time data processing to ensure detection sensitivity up to 1% of flow within minutes.
High-quality instrumentation
Redundant communication paths
Real-time data processing
Standards & regulation
What Leak Detection Is Measured Against
API says leak detection often uses a multi-layered series of technologies and strategies. These documents set the rule, the tools and the programme around them.
The 49 CFR 195.444 summary covers US hazardous liquid pipelines carrying single-phase liquid. Confirm which rules apply to your pipeline and jurisdiction.
The rule
49 CFR 195.444
US federal regulation
Requires an effective leak detection system, assessed against factors such as pipeline length and size, product type, how quickly leaks can be detected, and leak history. Any CPM system must comply with API RP 1130 for operation, maintenance, testing, record keeping and dispatcher training.
must comply with
The tools
API RP 1130
Computational Pipeline Monitoring for Liquids
Covers the algorithmic monitoring tools used to recognize hydraulic anomalies that could show a leak. The second edition was published in 2022.
works within
The programme
API RP 1175
Pipeline Leak Detection—Program Management
Guidance for creating an effective leak detection program, with a flexible framework for choosing technologies and systems. The second edition adds the role of fibre-optic sensing.
Related documents
API 1149
Pipeline Variable Uncertainties and Their Effects on Leak Detectability
Looks at how uncertainty in pipeline variables affects what a leak detection system can detect.
API 1155
Predecessor of RP 1130
The earlier API document that API RP 1130 replaced.
Questions answered
Leak Detection Systems: Common Questions
Straight answers on how TLE leak detection works, which methods it uses and how alarms reach your operators.
What is a pipeline leak detection system?
TLE’s Internal Leak Detection Systems (ILDS) use advanced algorithms, including E-RTTM, statistical analysis and volume balance methods, to detect and localize leaks rapidly and accurately. TLE also supplies external detection through fibre optic sensing, so a project can use both layers.
How does a pipeline leak detection system work?
A leak moves through five stages. Detect: algorithms such as E-RTTM, statistical analysis, volume balance and negative pressure wave watch instrument data for the signature of a leak. Localize: the system narrows down where along the line product is escaping. Verify: multi-stage alarm logic and leak verification check the event before it is escalated. Alert: the alarm reaches operators through your existing SCADA, historian and alarm management systems. Record: time synchronization and event logging stamp each step so the event can be reviewed afterwards.
Which leak detection methods does TLE use?
Volume or mass balance (flow in against flow out of a segment, corrected for line pack), statistical analysis (patterns in flow and pressure readings), a real-time transient model or E-RTTM (modelled hydraulics against measured hydraulics), negative pressure wave (fast pressure transients at known positions) and fibre optic sensing (temperature or acoustic signatures along the route). The methods are often combined.
What is the difference between internal and external leak detection?
Internal leak detection (ILDS, PLDS) works from instrument data such as flow and pressure, using algorithms. External leak detection uses a fibre optic cable laid alongside the pipeline, combining distributed acoustic (DAS), temperature (DTS) and strain (DSS) sensing. TLE supplies both layers.
Can the system connect to SCADA and alarm management?
Yes. TLE leak detection integrates with SCADA, historian and alarm management systems, and uses time synchronization and event logging so each step of an event is stamped.
Does leak detection find every leak?
No method guarantees that every leak is found or located accurately. Performance depends on pipeline conditions, instrument quality, model calibration, communications and the detection method, which is why platforms often combine several methods.
What standards does TLE leak detection follow?
TLE lists compliance with API 1130, API 1149, API 1155, API 1175 and ISO standards. See the compliance standards section on this page.