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Titlebook: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling; Y. Z. Ma Book 2019 Springer Nature Switz

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書目名稱Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
編輯Y. Z. Ma
視頻videohttp://file.papertrans.cn/781/780869/780869.mp4
概述Presents a unique fusion of multidisciplinary geosciences: geology, petrophysics, geophysics, geostatistics and integrated data analytics.Emphasizes the integration of descriptive geology and quantita
圖書封面Titlebook: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling;  Y. Z. Ma Book 2019 Springer Nature Switz
描述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, everyt
出版日期Book 2019
關(guān)鍵詞Reservoir Modeling; Data Analytics for E&P; Reservoir Uncertainty Analysis; Petroleum Geostatistics; Res
版次1
doihttps://doi.org/10.1007/978-3-030-17860-4
isbn_softcover978-3-030-17862-8
isbn_ebook978-3-030-17860-4
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Y. Z. MaPresents a unique fusion of multidisciplinary geosciences: geology, petrophysics, geophysics, geostatistics and integrated data analytics.Emphasizes the integration of descriptive geology and quantita
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978-3-030-17862-8Springer Nature Switzerland AG 2019
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Constructing 3D Model Framework and Change of Support in Data Mappingst be collocated with other data to constrain the distributions of the reservoir properties in the 3D model. The data mapping can be more complex than it appears to be because it often involves a change of support (scale).
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