Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Author: Y. Z. Ma
Publisher: Springer
Total Pages: 640
Release: 2019-07-15
Genre: Technology & Engineering
ISBN: 3030178609


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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.


Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Language: en
Pages: 640
Authors: Y. Z. Ma
Categories: Technology & Engineering
Type: BOOK - Published: 2019-07-15 - Publisher: Springer

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Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications
Applied Statistical Modeling and Data Analytics
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Type: BOOK - Published: 2017-10-27 - Publisher: Elsevier

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Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern
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Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-02 - Publisher: Elsevier

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Reservoir Characterization is a collection of papers presented at the Reservoir Characterization Technical Conference, held at the Westin Hotel-Galleria in Dall
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Type: BOOK - Published: 2023-10-27 - Publisher: Elsevier

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Language: en
Pages: 51
Authors: Fuge Zou
Categories: Technology & Engineering
Type: BOOK - Published: 2013-11-21 - Publisher: Elsevier Inc. Chapters

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In this chapter, the principles of reservoir modeling, workflows and their applications have been summarized. Reservoir modeling is a multi-disciplinary process