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Titlebook: Geostatistical Methods for Reservoir Geophysics; Leonardo Azevedo,Amílcar Soares Book 2017 Springer International Publishing AG 2017 Geost

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發(fā)表于 2025-3-21 20:06:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Geostatistical Methods for Reservoir Geophysics
編輯Leonardo Azevedo,Amílcar Soares
視頻videohttp://file.papertrans.cn/385/384092/384092.mp4
概述Presents real data application examples for geostatistical modeling.Provides a detailed description on the geostatistical background.Describes novel geostatistical seismic inversion methodologies.Incl
叢書名稱Advances in Oil and Gas Exploration & Production
圖書封面Titlebook: Geostatistical Methods for Reservoir Geophysics; Leonardo Azevedo,Amílcar Soares Book 2017 Springer International Publishing AG 2017 Geost
描述.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..
出版日期Book 2017
關(guān)鍵詞Geostatistics; Stochastic Simulation; Reservoir Modeling; Seismic Reservoir Characterization; Geophysica
版次1
doihttps://doi.org/10.1007/978-3-319-53201-1
isbn_softcover978-3-319-85088-7
isbn_ebook978-3-319-53201-1Series ISSN 2509-372X Series E-ISSN 2509-3738
issn_series 2509-372X
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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發(fā)表于 2025-3-21 22:18:59 | 只看該作者
Geostatistical Methods for Reservoir Geophysics978-3-319-53201-1Series ISSN 2509-372X Series E-ISSN 2509-3738
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發(fā)表于 2025-3-22 02:01:24 | 只看該作者
English for Cross-Cultural CommunicationThis book seeks to fill the gap between traditional geostatistical methodology tools for reservoir modeling and characterization, and inverse procedures for integrating different data within the geo-modeling workflow.
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發(fā)表于 2025-3-22 08:34:20 | 只看該作者
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發(fā)表于 2025-3-22 10:30:12 | 只看該作者
Campus Anglicization, Critical Ironies,echniques in subsurface modeling and characterization, and their ability for uncertainty assessment. These concepts are introduced focusing its application in real problems of the oil and gas industry.
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發(fā)表于 2025-3-22 16:41:45 | 只看該作者
ELF Education for the Japanese Contexte concepts related with Random Fields and Random Variables and how a bi-point statistics framework (i.e. the variogram model) can be used to characterize the spatial continuity pattern of a given property of interest. After which the different linear estimation models based on Kriging are presented.
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https://doi.org/10.1007/978-3-540-77127-2s to integrate CSEM (electromagnetic) data into seismic reflection data and historic production data into seismic inversion. With this, we intend to open the door for new frameworks and tools to properly integrate all the available data from different nature into reservoir modelling and characteriza
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