AI and pipeline monitoring: protection and diagnostic technologies

The monograph examines advanced technologies for ensuring the safety and sustainability of pipeline infrastructure based on artificial intelligence, robotic systems, and digital twins. Particular attention is paid to intelligent cathodic protection, predictive monitoring, and automated diagnostics based on sensor networks. The architecture and functioning of adaptive AI systems capable of detecting corrosion processes in real time, predicting leaks, and performing autonomous navigation along pipelines are described. Practical cases of robotics and digital modelling implementation are analysed, as well as their environmental and economic impact. The work will be useful for engineers, researchers, maintenance and digital transformation specialists in the oil and gas industry.

Autorentext

Yerzhan Kuzenbayev é engenheiro investigador na área de tecnologias de tubagens. É especialista em monitorização de IA, diagnóstico robotizado e proteção digital de infraestruturas de petróleo e gás. É autor de artigos científicos e soluções de engenharia com aplicação de análise preditiva.