Overview
- Presents a unique fusion of multidisciplinary geosciences: geology, petrophysics, geophysics, geostatistics and integrated data analytics
- Emphasizes the integration of descriptive geology and quantitative geosciences
- Connects research to industry problems
- Contains many original methods and their applications to resource evaluation and reservoir studies
- Provides essential materials for both researchers and practitioners in the digital world
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Table of contents (25 chapters)
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Reservoir Characterization
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Reservoir Modeling and Uncertainty Analysis
Keywords
About this book
Authors and Affiliations
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Bibliographic Information
Book Title: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Authors: Y. Z. Ma
DOI: https://doi.org/10.1007/978-3-030-17860-4
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-17859-8Published: 24 July 2019
Softcover ISBN: 978-3-030-17862-8Published: 15 August 2020
eBook ISBN: 978-3-030-17860-4Published: 15 July 2019
Edition Number: 1
Number of Pages: XXV, 640
Number of Illustrations: 127 b/w illustrations, 167 illustrations in colour
Topics: Fossil Fuels (incl. Carbon Capture), Quantitative Geology, Geotechnical Engineering & Applied Earth Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Operations Research/Decision Theory, Geophysics/Geodesy