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.
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