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

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Cover of 'Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Probabilistic Analytics for Geoscience Data
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    Chapter 3 Statistical Analysis of Geoscience Data
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    Chapter 4 Correlation Analysis
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    Chapter 5 Principal Component Analysis
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    Chapter 6 Regression-Based Predictive Analytics
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    Chapter 7 Introduction to Geoscience Data Analytics Using Machine Learning
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    Chapter 8 Multiscale Heterogeneities in Reservoir Geology and Petrophysical Properties
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    Chapter 9 Petrophysical Data Analytics for Reservoir Characterization
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    Chapter 10 Facies and Lithofacies Classifications from Well Logs
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    Chapter 11 Generating Facies Probabilities by Integrating Spatial and Frequency Analyses
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    Chapter 12 Seismic Data Analytics for Reservoir Characterization
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    Chapter 13 Geostatistical Variography for Geospatial Variables
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    Chapter 14 Introduction to Geological and Reservoir Modeling
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    Chapter 15 Constructing 3D Model Framework and Change of Support in Data Mapping
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    Chapter 16 Geostatistical Estimation Methods: Kriging
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    Chapter 17 Stochastic Modeling of Continuous Geospatial or Temporal Properties
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    Chapter 18 Geostatistical Modeling of Facies
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    Chapter 19 Porosity Modeling
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    Chapter 20 Permeability Modeling
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    Chapter 21 Water Saturation Modeling and Rock Typing
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    Chapter 22 Hydrocarbon Volumetrics Estimation
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    Chapter 23 Introduction to Model Upscaling, Validation and History Match
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    Chapter 24 Uncertainty Analysis
Attention for Chapter 16: Geostatistical Estimation Methods: Kriging
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Citations

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Chapter title
Geostatistical Estimation Methods: Kriging
Chapter number 16
Book title
Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-17860-4_16
Book ISBNs
978-3-03-017859-8, 978-3-03-017860-4
Authors

Y. Z. Ma

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Unknown 4 57%
Readers by discipline Count As %
Unspecified 1 14%
Agricultural and Biological Sciences 1 14%
Earth and Planetary Sciences 1 14%
Unknown 4 57%