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Springer Machine Learning and Flow Assurance in Oil and Gas

Amazon

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£121.13 £118.26 £118.89 £119.51 £120.14 £120.76 £121.39 28 July 2026 14 August 2026 01 September 2026 18 September 2026 06 October 2026
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48 days 23 days · current 0 12 24 36 48 £119 £121 Days at Price

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Price range: £119 - £121

Price levels: 2 different prices over 71 days

Description

Explore the intersection of advanced machine learning techniques and flow assurance challenges in oil and gas production with this comprehensive Springer publication. This book bridges the gap between computational intelligence and petroleum engineering, offering practical insights into how machine learning algorithms can optimise production systems, predict flow failures, and enhance operational efficiency. Ideal for engineers, data scientists, and industry professionals seeking to understand cutting-edge applications of artificial intelligence in upstream and downstream operations, this resource combines theoretical foundations with real-world case studies. Gain knowledge of predictive modelling, data analytics, and automation strategies that are transforming how the energy sector manages complex production environments and minimises downtime.

Key Features

Published by Springer, a leading academic publisher specialising in science and engineering literature.

Focuses on machine learning applications specifically tailored to flow assurance in oil and gas production systems.

Combines theoretical machine learning concepts with practical petroleum engineering challenges and solutions.

Includes case studies and real-world examples demonstrating how predictive analytics improve operational reliability.

Suitable for professionals in petroleum engineering, data science, and energy sector operations management.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 March 2024
Listed Since
15 February 2024

Barcode

No barcode data available

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