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Pipelines traverse nature preserves, parks, water supplies, businesses, and our communities. That's why it's paramount to apply the latest technology to managing pipeline integrity which allows for proactive measures to ensure pipeline safety, reliability, and compliance. 

Irth Asset Integrity for Pipelines (AIP, formerly CIM), a fully integrated enterprise-level solution built on the highly secure Microsoft Cloud, gives owners a systematic approach to managing the integrity of their critical assets effectively. It leverages advanced data science and machine learning to enable pipeline operators to make efficient data-driven decisions to prevent pipeline failures and protect the safety of people and the environment.  

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Harness machine learning (ML) to ingest any inline inspection (ILI) report, regardless of vendor or format.  Effortlessly integrate and align your ILI reports, pipeline data, external corrosion surveys, internal corrosion control activities, and even repair data for advanced condition and threat analysis.

 

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Understand and visualize threats to your assets through correlated datasets, engineering analyses, built-in data science models that predict points of failure, and enterprise Power BI dashboards and reporting. Use a single platform to quantify risk, allowing for quicker data-driven decision-making.

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Ushering in a new era for pipeline safety by digitally transforming asset integrity programs, eliminating data silos and providing a holistic view of asset risk. Providing a platform for sharing knowledge and insights through our analysis condition library, annual State of Integrity reports, and User Summits.

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Turn your external corrosion control surveys into actionable insights. 

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Integrate varied internal corrosion control activities to assess program effectiveness 


Integrate coupon, pigging, ILI, chemical, and operational data into a single platform.

Detect active internal corrosion and evaluate mitigation effectiveness.

Streamline tracking and reporting with enterprise-level dashboards, automated KPIs, and tools to manage tasks, expenses, and continuous improvement.

 

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Utilize "Best Practice" risk models to provide on-demand quantitative risk analysis and reporting.


Assess the 9 threat categories from ASME B31.8S utilizing a combination of structural reliability and historical-based models.

Quantify the real-time probability of failure in meaningful units.

Utilize models designed by C-FER Technologies and validated by PHMSA data.

 

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Determine the severity of pressure cycle fatigue at each flaw location.

Estimate the fatigue growth rate and remaining life, using MAT-8. 

Perform "what-if" scenarios with different pressures & material properties.  

 

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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.

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Manage the threat of outside pipeline forces via screening tools as well as monitoring and alert solutions that combine publicly available information with engineering models that include seismicity, earth movement, fire, weather, and methane leaks (if applicable).

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Our GIS analysts and pipeline integrity engineers will support your integrity management program with a combination of expertise and software. Capabilities include: 

Risk Assessment

Hazardous Liquid High Consequence Area Analyses

Gas Consequence Area Analyses

Valve Studies

Integrity Assessment Support

Crack Anomaly Fitness-For-Service

Data Prediction Using Machine Learning 

Compliance Services

Latest Posts

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We’re just days away from our biggest User Summit yet, and the Asset Integrity track is packed with product deep dives,...

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External corrosion (EC) remains one of the most persistent threats to pipeline integrity. According to PHMSA data,...

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By building AIP on Microsoft’s secure, scalable Azure platform and embedding tools like Power BI, we give pipeline...

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