£134.25

About as cheap as it gets — within 5% of the all-time low it hit 1 month ago.

£134 today · all-time low £130 (Sep 2026) · usually £131

CRC Press AI in Energy Industry - Theory, Cases & Applications

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Price History & Forecast

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Last 71 days · 71 data points (no recent data)

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£150.32 £128.30 £133.10 £137.91 £142.71 £147.52 £152.32 27 July 2026 13 August 2026 31 August 2026 17 September 2026 05 October 2026
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Price Distribution

Price distribution over 71 days • 4 price levels

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Current Price
15 days 42 days 11 days · current 3 days 0 11 21 32 42 £130 £134 £135 £150 Days at Price

Price Analysis

Most common price: £134 (42 days, 59.2%)

Price range: £130 - £150

Price levels: 4 different prices over 71 days

Description

This comprehensive resource bridges the knowledge gap in applying modern artificial intelligence and machine learning methods to the energy sector. It explores how AI, machine learning, and data analytics enhance efficiency, safety, and productivity across the oil and gas value chain, including exploration, drilling, production, reservoir management, and renewables integration. The book covers theoretical and practical aspects of AI and ML applications, from foundational concepts to advanced techniques, featuring real-world examples and practical case studies that demonstrate proven implementation strategies. Ideal for engineers, data scientists, and energy professionals seeking to understand how intelligent systems optimise operations and drive innovation in traditional and renewable energy domains.

Key Features

Covers AI and machine learning fundamentals through to advanced applications within the petroleum and energy sectors.

Explores AI implementation across the entire oil and gas value chain, including exploration, drilling, production, and reservoir management.

Features real-world case studies and practical examples demonstrating proven AI and ML deployment in energy operations.

Bridges theory and practice with detailed guidance on applying data analytics to enhance safety, efficiency, and productivity.

Addresses renewables integration and how artificial intelligence optimises modern energy systems beyond traditional fossil fuels.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 March 2026
Listed Since
20 May 2025

Barcode

No barcode data available

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