Risk Management
How CIM Helps Integrity Teams Predict Pipeline Risk
Cognitive Integrity Management™ applies industry-leading risk models to quantify risk for all major pipeline threats. The platform grants visibility into the condition of your assets with business intelligence dashboards and predictive analytics.
Probabilistic Risk Modeling
Leverage probabilistic risk models developed by C-FER, an industry leader in pipeline risk assessment. Estimate probability of failure (PoF) based on models built over decades of research and validation.
Predictive Analytics
Run analytics that incorporate CIM’s corrosion growth rate calculations into PoF estimates. The algorithms validate data at scale, while cloud computing analyzes all available data.
Quantitative Threat Assessment
Calculate PoF using historical-based and structural reliability methodology for all nine major pipeline threats included in the CSA Z662 and ASME B31.8S standards, including internal & external corrosion, stress corrosion cracking, and construction defects.
Quantified Reliability
Derive the consequence of failure with modeling that accounts for HCAs and drain-down volumes using data drawn directly from CIM. View the reliability profile of your pipeline on a rolling-mile basis.
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The Business Value of Outstanding Risk Management
Importing, exporting, and manipulating data across multiple networks and software impedes your workflow and introduces errors. With CIM, all the data needed for advanced risk management is in one place—a secure, unified database. Plus, with the power of Azure cloud computing, it’s finally possible to use all your available data for quantitative probabilistic analytics, so you can be confident in the results.
OneBridge works with pipeline operators to develop data-driven integrity management solutions.
Contact us to learn more about our Cognitive Integrity Management™ platform.
