Quantitative geosciences : data analytics, geostatistics, reservoir characterization and modeling / Y. Z. Ma.
Ma, Y. Z., author.
2019
QE26.3 .M39 2019
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Quantitative geosciences : data analytics, geostatistics, reservoir characterization and modeling / Y. Z. Ma.
Author Ma, Y. Z., author.
ISBN 9783030178604 (electronic book)
3030178609 (electronic book)
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-17
Call Number QE26.3 .M39 2019
Dewey Decimal Classification 550
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 disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. 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 various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on August 27, 2019).
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export