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CRC Press Data-Driven Analytics Geological CO2 Storage - CRC Press

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£136.00 £121.27 £124.48 £127.70 £130.91 £134.13 £137.34 28 July 2026 14 August 2026 01 September 2026 18 September 2026 06 October 2026
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Description

Data-driven analytics is transforming how oil and gas professionals approach geological storage of CO2. This comprehensive guide examines the critical role of artificial intelligence and machine learning in analysing fluid flow through porous environments, including saline aquifers and depleted gas and oil reservoirs. Drawing from real-world case studies, the book demonstrates practical methods for developing smart proxy models that simplify complex numerical reservoir simulation tasks. Engineers and reservoir specialists will discover how data-driven techniques address the unique challenges of CO2 storage projects, offering efficient solutions to problems that traditionally required extensive computational modelling. Whether you are designing storage systems, optimising reservoir performance, or managing simulation workflows, this resource provides the technical insights and proven strategies needed to leverage artificial intelligence effectively in geological applications.

Key Features

Focuses on artificial intelligence and machine learning applications for CO2 geological storage in porous media environments.

Includes real-world case studies demonstrating how smart proxy models simplify complex numerical reservoir simulation.

Covers fluid flow analysis in saline aquifers and depleted gas and oil reservoirs using data-driven methods.

Provides practical solutions for reservoir engineering problems associated with geological storage projects.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 June 2018
Listed Since
02 August 2016

Barcode

No barcode data available

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