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

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Multiscale Heterogeneities in Reservoir Geology and Petrophysical Propertiesis book is more focused on quantitative analyses of geospatial properties, this chapter introduces several topics on descriptive and (semi)quantitative analyses of geological and petrophysical variables, mainly regarding their scales and heterogeneities. These will provide a foundation for more quantitative analysis in other chapters.

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Introduction to Geological and Reservoir Modelinghysical, and reservoir engineering data using scientific and statistical inferences. This chapter presents an introduction to reservoir modeling, including the aims, principles, and general workflows. The subsequent chapters present various modeling methods and their applications.

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Probabilistic Analytics for Geoscience Datay not just for dealing with randomness but also for dealing with non randomness and uncertainty. Many geoscience problems are indeterministic, meaning that it is impossible to perfectly describe them by a deterministic function. This is due to the complexity of physical processes that took place in

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Correlation Analysis Machine learning methods are also impacted by correlations in data. With todays’ big data, the role of correlation becomes increasingly important. Although the basic concept of correlation is simple, it has many complexities in practice. Many may know the common saying “correlation is not causation

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Introduction to Geoscience Data Analytics Using Machine Learningdness. Although many traditional statistical methods work well with small datasets and a proper experimental design, they are less effective in handling some of the problems that have arisen out of big data. Artificial intelligence (AI) has led the way to data mining for discovering patterns and reg

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Multiscale Heterogeneities in Reservoir Geology and Petrophysical Propertiesw in porous media are governed by a variety of geological and petrophysical variables, including structure, stratigraphy, facies, lithology, porosity, and permeability. These variables all contribute to subsurface heterogeneities and have different scales, often in a hierarchical scheme..Although th