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Author:   Andreas Laake
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Weight:   0.623kg
ISBN:  

9783030733216

ISBN 10:   3030733211
Pages:   348
Publication Date:   05 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Chapter 1-Electromagnetic spectral bands used for RS in HC exploration.- Chapter 2-Foundations of multi-spectral image processing.- Chapter 3-Surface elevation and surface texture from microwave radar.- Chapter 4-Surface cover from optical and thermal IR.- Chapter 5-Geomorphology and Mapping.-  Chapter 6-Near-surface characteristics from optical, thermal IR and microwave radar.- Chapter 7-Basement depth and texture from radar distance anomalies.- Chapter 8-Mapping of temporal changes.-  Chapter 9-Frontier exploration.- Chapter 10-Seismic planning, acquisition and data processing.- Chapter 11-Development and oilfield infrastructure planning.- Chapter 12-Geological analogs. 

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Author Information

Dr. Andreas Laake is a physicist and geoscientist with over 30 years of industry experience in processing, interpretation and integration of geological, geophysical, and remote sensing data from acquisition planning and data acquisition, to geological modeling from prospect to global scale. He is a Geophysical Advisor for Schlumberger Digital and Integration in Aachen, Germany, where he develops and executes digital exploration projects using analysis and interpretation of seismic data for geological modeling and reservoir characterization, integration of seismic, non-seismic, satellite and well data, and geological model building from basin to global scale. The author envisages processing, interpretation and integration of geoscience data as an art to unlock the information that is hidden in the raw data. The author’s approach to the visualization of the results aims at the co-rendering of multiple data types in a form that inspires the intuitive interpretation of the viewer to draw comprehensive conclusions that are supported by the context of multiple data types, each of which provide a different facet of the studied features.

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