Turn your external corrosion control data into valuable and actionable insights. Capabilities include:
External corrosion control surveys, i.e., Close Interval Surveys (CIS), are automatically aligned and integrated with ILI and pipeline data, allowing for a more comprehensive and advanced analysis.
Analyze corrosion control survey data with pre-built conditions designed by our corrosion SMEs and data science team.
Assign each deficient reading or region a mitigative action with auto-populated due dates customizable to the condition category.
SME-designed auto-generated dashboards/reports are immediately available for review and download.
The standalone Internal Corrosion module is designed to integrate, analyze, and track internal corrosion monitoring and mitigative activities. Capabilities include:
Integrate all internal corrosion control activities, (i.e., coupon measurements, maintenance pigging, and operational data), with inline inspection data.
Utilize proven data science models to analyze inline inspection results to identify active internal corrosion.
Monitor and track corrosion management through a single centralized platform. The solution can track meeting notes, analysis findings, and action items.
Enterprise-level customizable dashboards and reports are provided, giving operators visibility into their corrosion program.
Reduce chemical inhibitor cost by 5-10% through metrics surfaced from this module.
The Pressure Cycle Fatigue Analysis module allows users to perform a fatigue analysis on crack or crack-like flaws identified from inline inspection data. Capabilities include:
Determine the severity of pressure cycle fatigue at each flaw location by analyzing the pressure history and calculating a cyclic index.
Estimate the fatigue growth rate, critical crack size, and remaining life for each ILI-identified crack or crack-like anomaly utilizing MAT-8.
Calculate a failure pressure for all crack and crack-like flaws utilizing technically proven fracture mechanics models, including Raju-Newman, modified Log-Secant, and MAT-8.
The Risk Management module provides a centralized platform for integrating a holistic data set characterizing the asset, environment, maintenance activity, and operating conditions. Said data is utilized to drive a scalable quantitative and probabilistic risk model that allows for real-time risk analysis results for use in day-to-day integrity decisions.
By combining real-time data with operational history and external data sources, Irth recommends the most effective actions to address potential leaks and proactively mitigate risk and potential impacts to your pipeline.
