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Big Data Analytics in Energy Pipeline Integrity Management.

Springer eBooks EBA - Energy Collection 2025 Available online

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Format:
Book
Author/Creator:
Hussain, Muhammad.
Contributor:
Zhang, Tieling.
Series:
Lecture Notes in Energy Series
Lecture Notes in Energy Series ; v.104
Language:
English
Physical Description:
1 online resource (425 pages)
Edition:
1st ed.
Place of Publication:
Singapore : Springer, 2025.
Summary:
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9680-19-0
OCLC:
1541788264

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