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Quantitative geosciences : data analytics, geostatistics, reservoir characterization and modeling

Author: Y Z Ma
Publisher: Cham, Switzerland : Springer, [2019]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
(OCoLC)1090170459
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Y Z Ma
ISBN: 3030178609 9783030178604
OCLC Number: 1110370403
Description: 1 online resource
Contents: Preface --
1. Introduction and Overview --
Part 1: Reservoir Characterization --
2. Essential Reservoir Geology and Multi-Scales of Petroleum Reservoir Heterogeneities --
3. Introduction to Petrophysical Reservoir Characterization --
4. Practical Seismic Reservoir Characterization --
5. Statistical and Data Analytical Reservoir Characterization --
6. Geostatistical Reservoir Characterization --
7. Integrated Facies and Lithofacies Analysis, Identification and Classification --
Part 2: Geological and Reservoir Modeling --
8. Constructing a Reservoir-Model Framework --
9. Geostatistical Modeling Methods --
10. Facies and Lithofacies Modeling --
11. Porosity Modeling --
12. Permeability Modeling --
13. Fluid-Saturation Modeling --
14. Uncertainty Analysis and Volumetrics Evaluation --
Part 3: Special and Advanced Topics --
15. Naturally Fractured Reservoir Characterization and Modeling --
16. Updating a Reservoir Model and Feedback Loop in Reservoir Modeling --
17. Ranking Reservoir Models --
18. Reservoir Model Upscaling, Simulation and Validation --
19. Common and Uncommon Pitfalls in Integrated Reservoir Characterization and Modeling --
20. Planning an Integrated Reservoir Characterization and Modeling Project --
21. Towards a Fully Integrated Reservoir Characterization, Modeling and Uncertainty Analysis for Petroleum Resource Management and Field Development.
Responsibility: Y. Z. Ma.

Abstract:

As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in  Read more...

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