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portada Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Type
Physical Book
Author
Publisher
Year
2019
Language
English
Pages
640
Format
Hardcover
Dimensions
24.8x16.5x5.1 cm
Weight
1.27 kg.
ISBN13
9783030178598
Edition No.
1
Categories

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

Y. Z. Ma (Author) · Springer · Hardcover

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling - Ma, Y. Z.

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

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.

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