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.
