Big Data Analytics in Energy Pipeline Integrity Management

£149.50

Big Data Analytics in Energy Pipeline Integrity Management

Risk assessment Management and management techniques The environment Databases Computer networking and communications Artificial intelligence Machine learning

Authors: Muhammad Hussain, Tieling Zhang

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Collection: Lecture Notes in Energy

Language: English

Published by: Springer

Published on: 26th September 2025

Format: LCP-protected ePub

ISBN: 9789819680191


Overview

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.

Intended Audience

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).

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