E.1.S.HG Boosting Internal Corrosion Risk Assessment with AI and NotebookLM

Описание: In this AI / NotebookLM episode, we explore how Trusted Pipeline Advisor (TPA) leverages artificial intelligence to enhance pipeline integrity and pipeline corrosion management.

By using a deep technical knowledge base and analyzing data from 250 TPA EA Reports, TPA anticipates problems before they lead to failures.

The system addresses internal corrosion, often triggered by transient events such as startup slugs and surges.

It provides real-time insights for field teams to proactively adjust pigging routines, chemical treatments, and predicts risk scenarios.

This shift from reactive to predictive management integrates continuous improvement, ushering in a safer, more sustainable future in pipeline integrity.

00:00 Introduction to Trusted Pipeline Advisor (TPA)
00:09 Harnessing AI for Pipeline Integrity
00:35 Understanding Internal Corrosion
01:26 Identifying High-Risk Scenarios
01:49 Proactive Pipeline Management
02:29 Conclusion: The Future of Field Integrity

Most pipeline corrosion failures don’t come from steady flow—they come from surprise restarts upstream.

TPA is using AI-powered pattern recognition to predict internal corrosion risk from transient flow events—especially well reactivations that inject a slug of corrosive debris.

It’s not just about CO₂ or H₂S anymore. It’s about the history behind each well and how those upstream dynamics shape pipeline performance.

Predictive mitigation starts here.

#PipelineIntegrity #AIinOilAndGas #CorrosionManagement #TPA #FieldOps #DataDrivenEngineering #WellRestartRisk #NotebookLM #TrustedPipelineAdvisor #PipelineCorrosion