£113.66

Elsevier Machine and Deep Learning for Subsurface Geology

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Description

Expand your technical knowledge with this Elsevier publication focused on the implementation and interpretation of machine and deep learning. This book addresses applied subsurface geological problems by utilizing prediction models that exploit well-log information. It serves as a specialized resource for professionals and students working within the intersection of data science and geological analysis. By focusing on the practical application of advanced algorithms to geological data, this text provides a framework for understanding how predictive modeling can be applied to complex subsurface environments. It is an essential addition to your collection of technical literature regarding operational research and geological data interpretation. The content is designed to support your understanding of how modern computational methods can be integrated into traditional geological workflows to improve accuracy in subsurface predictions.

Key Features

Covers the implementation of machine and deep learning techniques specifically for applied subsurface geological challenges.

Focuses on the development and use of prediction models that leverage well-log information for better geological insights.

Provides technical guidance on interpreting complex data within the context of subsurface geological problems.

Published by Elsevier to ensure high-quality academic and professional standards for technical readers.

Supports advanced study in operational research and the application of data science to geological environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
24 February 2025
Listed Since
24 July 2024

Barcode

No barcode data available

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