CorroX empowers integrity engineers by preventing costly, unpredictable corrosion issues; reducing risks and increasing decision confidence.
Corrosion causes $12 billion in damages to oil and gas pipelines each year. Even when corrosion is identified, it is challenging to determine the cause.
Corrosion often exhibits delays between cause and effect due to unobserved changes (i.e. aging, rust) creating sudden major impacts.
Corrosion mechanisms and underlying causes are inherently complex.
Quantitative risk assessment tools and machine learning rely on standard assumptions and lack insight into corrosion behavior in specific situations.
Unlike other machine-assisted corrosion identification technologies, CorroX is an engineer-oriented AI tool to enhance and improve decision making. Its conservative but thorough approach doesn’t negate outliers and won’t make predictions without enough information.
Merging SME knowledge with existing data, CorroX identifies corrosion, determines the cause, projects the growth rate, and provides reasoning for its explanations.
CorroX provides integrity engineers with a better way of estimating corrosion risk than simply looking at wall loss percentage or historical corrosion growth rate. Now engineers can evaluate corrosion issues based on the cause and expected effect.
CorroX explanation dashboard with individual pipeline level explanation
CorroX technology concept has secured grants from OCAST and the Department of Transportation
CorroX benefits:
- Reduce pipeline leaks/failures by 75%
- Identify the correct class of chemical to use in each situation, reducing biocide/corrosion inhibitor usage by 20%+
- Reduce unnecessary digging by 20%+
- Make more informed decisions through explainable conclusions
- Increase engineers’ time to focus on key issues