
Pipeline Integrity Intelligence Dashboards Powered by ILI Data

Context
In‑line inspection (ILI) provides critical insight into pipeline condition, identifying cracks, metal loss, dents, and other internal threats. However, to make effective integrity decisions, inspection results must be understood alongside operational behavior, seasonal effects, and regional conditions. An integrated dashboard approach helps convert ILI data into practical, decision‑ready intelligence.
Challenges
Integrity and operations teams face several challenges when working with ILI data
ILI results provide detailed detection but limited context on external and operational drivers
Inspection data, CP readings, operational logs, and environmental data exist in silos
Identifying systemic patterns across multiple pipelines requires manual comparison
Understanding seasonal, regional, or load‑driven anomaly behavior is time‑consuming
Leadership needs clear prioritization and explanations, not raw inspection outputs
Investigations are repetitive, relying heavily on manual analysis and report navigation
These limitations slow down decision‑making and increase the risk of reactive rather than proactive integrity management.
Solution
This solution delivers a unified ILI Intelligence Dashboard that connects inspection results with fleet‑level comparisons and operational context. Through a small set of focused dashboards and an optional natural‑language integrity agent, teams can quickly understand what the tool detected, where risk is concentrated, and why anomalies are emerging,enabling faster prioritization, clearer planning, and more proactive integrity management.
A structured dashboard framework provides:
ILI Detection & Validation to establish accurate inspection baselines
Fleet‑Level Anomaly Intelligence to identify where risk is concentrated across assets
Seasonal, Regional & Operational Context Intelligence to explain why anomalies are emerging