A unified decision-support platform that consolidates inspection, design, and operational data into structured, defensible intelligence across your pipeline network.
PipeIMS© (Pipe Integrity Management System) is an integrated engineering platform developed by Gaia Assessment and deployed with major pipe owners in North America.
It integrates:
The result is a single, coherent framework for evaluating condition, quantifying risk, and prioritizing capital and operational decisions.
PipeIMS© functions as the analytical core of a pipeline management program. It ingests inspection and operational data, quantifies structural reliability and consequence exposure, and generates ranked, defensible recommendations for repair, monitoring, strengthening, or renewal.
PipeIMS© enables rapid visibility into system risk and performance.
Predictive Failure Analysis
Probabilistic failure forecasting and remaining life estimation at both asset and segment resolution.
Optimized Capital Allocation
Risk-informed CapEx and OpEx prioritization to support renewal strategies and targeted monitoring programs.
Scenario-Based Planning
Evaluation of pressure management, surge events, and loading conditions through structured “what-if” modelling to quantify reliability impacts over time.
Decision-Ready Outputs
Translation of inspection data into prioritized, technically justified intervention pathways.
Engineered for Composite Behaviour
PCCP is a composite system combining concrete and steel components with interdependent structural behaviour. PipeIMS© Lifecycle explicitly models this hybrid interaction, evaluating material degradation mechanisms and their influence on structural reliability over time.
PCCP Capabilities Include:
The PipeIMS© dashboard converts engineering analysis into structured management intelligence.
Executive-Level Risk Visualization
Clear presentation of asset condition and risk exposure across the network.
Load and Scenario Analysis
Quantifies how pressure, surge, burial depth, and operational changes influence structural capacity and long-term reliability.
At a Glance:
Technically Defensible
All outputs are grounded in engineering analysis and recognized standards, providing audit-ready documentation.
Adaptable and Scalable
Operates effectively with varying inspection densities and data completeness.
Intervention-Focused
Delivers clear, prioritized renewal and monitoring strategies tied to quantified risk.
Predictive, Not Static
Incorporates machine learning and reliability modelling to forecast performance trajectories, not just report condition snapshots.