Geostatistical Methods for Reservoir Geophysics [Hardcover]

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.

Introduction.- Fundamental geostatistical tools for data integration.- Simulation Models of Physical Phenomena in Earth Sciences.- Integration of geophysical data for reservoir modeling and characterization.- Data integration into geostatistical seismic inversion methodologies.- Afterword.Leonardo Azevedo is Professor at the Instituto Superior T?cnico, Lisboa, Portugal. He received his Ph.D. in Georesources in 2013 in the same university where he developed geostatistical tools for inverting seismic reflection data. During this period, he had three short-term contracts with the industry after which he joined CGGs Geosolutions team in Crawley (UK).  He returned to T?cnico in 2015 where he teaches and develop research relalÓ"