Lecture Notes in Energy

Hussain, Muhammad; Zhang, Tieling

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).

Details

Published by: Springer

Publication Date: 2025-09-27

Format: Hardcover

ISBN-13: 9789819680184

DOI: 10.1007/978-981-96-8019-1

Dimensions: 235cm x155cm

Pages: 330