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定量地球科学:数据分析、地质统计学、储层特征和建模-Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Charact

上传于 2020-02-27 48次下载 1737次围观
标题(title):Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
作者(author):Y. Z. Ma
出版社(publisher):Springer International Publishing
大小(size):23 MB (24136041 bytes)

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.

Table of contents :
Front Matter ....Pages i-xxv
Introduction (Y. Z. Ma)....Pages 1-17
Front Matter ....Pages 19-19
Probabilistic Analytics for Geoscience Data (Y. Z. Ma)....Pages 21-48
Statistical Analysis of Geoscience Data (Y. Z. Ma)....Pages 49-75
Correlation Analysis (Y. Z. Ma)....Pages 77-102
Principal Component Analysis (Y. Z. Ma)....Pages 103-121
Regression-Based Predictive Analytics (Y. Z. Ma)....Pages 123-149
Introduction to Geoscience Data Analytics Using Machine Learning (Y. Z. Ma)....Pages 151-171
Front Matter ....Pages 173-173
Multiscale Heterogeneities in Reservoir Geology and Petrophysical Properties (Y. Z. Ma)....Pages 175-200
Petrophysical Data Analytics for Reservoir Characterization (Y. Z. Ma)....Pages 201-230
Facies and Lithofacies Classifications from Well Logs (Y. Z. Ma)....Pages 231-254
Generating Facies Probabilities by Integrating Spatial and Frequency Analyses (Y. Z. Ma)....Pages 255-276
Seismic Data Analytics for Reservoir Characterization (Y. Z. Ma)....Pages 277-299
Geostatistical Variography for Geospatial Variables (Y. Z. Ma)....Pages 301-330
Front Matter ....Pages 331-331
Introduction to Geological and Reservoir Modeling (Y. Z. Ma)....Pages 333-349
Constructing 3D Model Framework and Change of Support in Data Mapping (Y. Z. Ma)....Pages 351-371
Geostatistical Estimation Methods: Kriging (Y. Z. Ma)....Pages 373-401
Stochastic Modeling of Continuous Geospatial or Temporal Properties (Y. Z. Ma)....Pages 403-433
Geostatistical Modeling of Facies (Y. Z. Ma)....Pages 435-469
Porosity Modeling (Y. Z. Ma)....Pages 471-493
Permeability Modeling (Y. Z. Ma)....Pages 495-515
Water Saturation Modeling and Rock Typing (Y. Z. Ma)....Pages 517-537
Hydrocarbon Volumetrics Estimation (Y. Z. Ma)....Pages 539-563
Introduction to Model Upscaling, Validation and History Match (Y. Z. Ma)....Pages 565-591
Uncertainty Analysis (Y. Z. Ma)....Pages 593-621
Back Matter ....Pages 623-640


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定量地球科学:数据分析、地质统计学、储层特征和建模-Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Charact
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