The technique analyzes Pipeline Inspection Gauges (PIGs) data, pressure sensors, and flowmeters inputs using machine learning algorithms to predict failures. This facilitates condition-based and preventive maintenance practices.
The Global pipeline integrity market is estimated to be valued at USD 2.51 Bn in 2025 and is expected to reach USD 3.56 Bn by 2032, exhibiting a compound annual growth rate (CAGR) of 5.1% from 2025 to 2032.
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https://www.writerscafe.org/oj....aswini/blogs/Pipelin
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