Azevedo, Leonardo Primary Author Soares, Amilcar Primary Author mixed material bibliography Cham, Switzerland Springer 2017 en English

Text

xxvi, 141 p : Illust : 26 cm This book presents a geostatistical framework for data integration into subsurface earth modeling. It provides 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 for simultaneous integration of 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. Statistics Gas Industry Gas Reservoirs Oil Industries Petroleum--Geology--Statistical Methods Industrial Statistics Petroleum--Geology--Mathematical Models 622.3382 9783319532004 e-Library Universitas Pertamina Be Global Leader 622.3382 AZE g 9751/PUP/2020 Perpustakaan Universitas Pertamina 622.3382 AZE g c.1 Geostatistical_methods_for_reservoir_geophysics.jpg 5229 2023-04-17 10:38:35 2023-04-17 10:38:35 machine generated