Geostatistical Methods for Reservoir Geophysics (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Oil and Gas Exploration & Production
Release date:	July 2018
First published:	2017
Authors:	Leonardo Azevedo • Amilcar Soares
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	141
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-85088-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics Books > Earth & environment > Earth sciences > Geology & the lithosphere > Economic geology > General Promotions
LSN:	3-319-85088-1
Barcode:	9783319850887

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