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Geostatistical Methods for Reservoir Geophysics

  1. Title statementGeostatistical Methods for Reservoir Geophysics [electronic resource] / by Leonardo Azevedo, Amílcar Soares.
    PublicationCham : Springer International Publishing : Imprint: Springer, 2017.
    Phys.des.XXVII, 141 p. 114 illus., 84 illus. in color. online resource.
    ISBN9783319532011
    EditionAdvances in Oil and Gas Exploration & Production, ISSN 2509-372X
    ContentsIntroduction -- 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.
    Notes to AvailabilityPřístup pouze pro oprávněné uživatele
    Another responsib. Soares, Amílcar.
    Another responsib. SpringerLink (Online service)
    Subj. Headings Earth sciences. * Economic geology. * Geology - Statistical methods. * Geophysics. * Statistics.
    Form, Genre elektronické knihy electronic books
    CountryNěmecko
    Languageangličtina
    Document kindElectronic books
    URLPlný text pro studenty a zaměstnance UPOL
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    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.

Number of the records: 1  

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