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Geostatistical Methods for Reservoir Geophysics


This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical background information, including detailed descriptions of the main geostatistical tools traditionally used in Earth related sciences to infer the spatial distribution of a given property of interest. This framework is then directly linked with applications in the oil and gas industry and how it can be used as the basis to simultaneously integrate geophysical data (e.g. seismic reflection data) and well-log data into reservoir modeling and characterization. All of the cutting-edge methodologies presented here are first approached from a theoretical point of view and then supplemented by sample applications from real case studies involving different geological scenarios and different challenges. The book offers a valuable resource for students who are interested in learning more about the fascinating world of geostatistics and reservoir modeling and characterization. It offers them a deeper understanding of the main geostatistical concepts and how geostatistics can be used to achieve better data integration and reservoir modeling.


1-3Introduction—Geostatistical Methods for Integrating Seismic Reflection Data into Subsurface Earth Models
5-35Fundamental Geostatistical Tools for Data Integration
37-49Simulation Models of Physical Phenomena in Earth Sciences
51-89Integration of Geophysical Data for Reservoir Modeling and Characterization
91-107Deriving Petrophysical Properties with Seismic Inversion
109-129Data Integration with Geostatistical Seismic Inversion Methodologies

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