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.