Hey Everyone,
Hope everyone's having a good day!
I'm curious to hear from professionals who have successfully implemented AI or Machine Learning solutions in the area of asset integrity management and reporting particularly within Oil and Gas processing facilities.
Have you deployed any AI/ML tools or models that have:
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Improved integrity monitoring (e.g. corrosion prediction, anomaly or vibration detection, failure pattern recognition)?
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Enhanced maintenance decision-making or reporting efficiency?
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Enabled predictive maintenance or real-time condition assessment of critical assets?
If so, I'd love to learn more about:
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The use case and technologies involved,
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How you integrated it with existing CMMS/EAM or DCS systems, and
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The challenges you faced with data quality, adoption, or scalability.
Even lessons learned or projects that didn't go as planned would be extremely valuable to discuss.
Looking forward to hearing how others are leveraging AI/ML to enhance asset integrity, reliability, and reporting.
Thankyou!
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Usama Butt
Reliability Engineer
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