Big Data Analytics in Energy Pipeline Integrity Management (Lecture Notes in Energy, 104)

By Tieling Zhang and Muhammad Hussain

This book offers a comprehensive exploration of the integration of Big Data analytics into the management of energy pipeline integrity. Its primary aim is to enhance pipeline safety, reduce operational costs, and ensure long-term sustainability by leveraging data-driven technologies in the monitoring and maintenance of pipelines. Aimed at professionals and researchers in the energy, oil, and gas sectors, as well as those involved in infrastructure management and data science, the book presents how emerging technologies, such as Big Data, Machine Learning (ML), Internet of Things (IoT), and Artificial Intelligence (AI), can revolutionize pipeline integrity management systems (PIMS).

• Format: Hardcover
• Language: English
• ISBN: 9819680182
• ISBN13: 9789819680184
• Release Date: September 2025
• Publisher: Springer
• Length: 355 Pages
• Weight: 1.32 lbs.
• Dimensions: 9.5" x 1.0" x 6.3"