Digital Twin of
a Pipeline

The system can be implemented in several configurations:

• As a service for preparing reports, technical conclusions, recommendations, and maintenance plans;
• As the DT.pipeline (Digital Twin of Pipeline) software application for modeling the pipeline structure, inputting parameters, performing strength and lifetime calculations, and visualization;
• As a hardware–software complex for evaluating strength and durability, equipped with periodic infrasound diagnostic devices;
• As a real-time leak detection system, using continuously operating infrasound sensors integrated with DT.pipeline analytics;
• As a cloud service, processing field measurements (or virtual data) to assess pipeline strength and residual life.

DATA COLLECTION:

• Infrasound devices record the spatial vibrations of the pipeline in three axes.
• Additionally, mechanical characteristics, welded joints, operational loads, and temperature conditions are considered.

INTEGRAL STIFFNESS ASSESSMENT:

• Changes in pipeline stiffness are analyzed, accounting for defect impact on strength loss.
• Based on dynamic characteristics, deviations indicating a reduction in load-bearing capacity are identified.

FAILURE PREDICTION:

• Material degradation models are used, incorporating detected defects.
• Failure probability is calculated considering accumulated damage and its kinetics.

Thus, the system does not merely detect defects but predicts the loss of operational reliability by linking defect data to residual life calculations.

• The Pipeline Digital Twin utilizes a leak detection method based on analyzing the dynamic characteristics of the pipeline itself, rather than just the parameters of the transported product. The method is based on:
  • Dynamic analysis of mechanical loads – modeling pipeline behavior during a leak, considering induced oscillations and their amplitude-frequency characteristics.
  • Infrasound sensors – installing measurement devices at intervals depending on pipeline pressure, detecting pipeline vibration deviations from the norm.
  • Frequency response module – pre-calculating frequency patterns, which are updated during calibration.
  • Integration of thermohydraulic and mechanical dynamic calculations – ensuring more precise identification of leak zones based on characteristic structural dynamic deviations.
  • How the Digital Twin method differs from common leak detection methods:
  • Standard Leak Detection Systems (LDS) primarily rely on flow parameter analysis (mass balance, negative pressure wave method, RTTM), which limits sensitivity (sensitivity and detection time are limited by the flow-measurement principle itself) and results in detection times of around 30 minutes.
  • The Digital Twin method allows detection of leaks as small as 0.1% by registering mechanical deformations in the pipeline and analyzing vibration characteristics.
  • Traditional methods have a high probability of false alarms, especially during pressure fluctuations, pump startups/shutdowns, and other process changes. The Digital Twin method minimizes false alarms by analyzing pipeline behavior instead of fluctuating flow parameters.
  • Thus, the Digital Twin technology provides more accurate and faster leak detection, reducing false alarms through a comprehensive approach that combines dynamic modeling and localized pipeline structure monitoring.

Technical Condition Monitoring in the Pipeline Digital Twin is a comprehensive assessment of pipeline durability and reliability. Unlike traditional diagnostics, it is based on an integrated analysis of the entire pipeline, rather than individual components.

Key differences:

1. Operational and failure history
   • Technical Condition Monitoring considers the full history of construction and operation, analyzing failure and damage statistics.
   • Standard diagnostics does not account for failure statistics.
2. Diagnostic methods
   • Technical Condition Monitoring applies infrasound monitoring of the entire pipeline, as well as dynamic and static load calculations.
   • Standard diagnostics uses localized methods, such as defectoscopy of individual pipes or welds and ultrasonic thickness measurements.
3. Identifying defect causes and mechanisms
   • Technical Condition Monitoring analyzes all diagnostic data throughout the pipeline’s service life, including weld inspections from construction.
   • Standard diagnostics does not account for material properties or actual operating loads.
4. Defect progression forecasting
   • Technical Condition Monitoring calculates durability and residual service life indicators for each pipeline element.
   • Standard diagnostics only provides estimated defect growth rates for corrosion and erosion, while all other defects are assessed using a pass/fail method.
5. Maintenance planning
   • Technical Condition Monitoring generates recommendations based on calculations, including:
   • Additional defectoscopic inspections
   • Operating mode restrictions
   • Repairs (insulation and/or pipe replacement)
   • Adjustment of pipeline elevation and alignment
   • Engineering protection in geologically complex areas
   • Standard diagnostics only generates recommendations based on detected defects.

Pilot applications conducted on assets of major Russian pipeline and gas transmission operators, and industrial facilities.

Results: reduced failure rates, a twofold reduction in specific maintenance costs, and a threefold decrease in physical repair volumes.

High‑stress zones were identified; safe operation periods refined; repair planning accuracy and diagnostic targeting improved.