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Springer - Deep Learning for Seismic Data Enhancement Book

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Description

Deep Learning for Seismic Data Enhancement and Representation is a specialized volume from the Advances in Oil and Gas Exploration & Production series. Published by Springer, this book addresses technical topics within the field of AI and Machine Learning applied to seismic data. It serves as a resource for professionals and students interested in the intersection of computer science and oil and gas exploration. This publication provides technical insights into how deep learning methodologies can be used for data representation and enhancement in the energy sector.

Key Features

Published by Springer as part of the Advances in Oil and Gas Exploration & Production series.

Focuses on deep learning applications for seismic data enhancement and representation.

Categorized under Computer Science, AI, and Machine Learning subjects.

Provides technical content relevant to oil and gas exploration and production workflows.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 December 2025
Listed Since
31 December 2025

Barcode

No barcode data available

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