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Titlebook: Geostatistics Valencia 2016; J. Jaime Gómez-Hernández,Javier Rodrigo-Ilarri,Jos Book 2017 Springer International Publishing AG, part of Sp

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發(fā)表于 2025-3-21 19:30:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Geostatistics Valencia 2016
編輯J. Jaime Gómez-Hernández,Javier Rodrigo-Ilarri,Jos
視頻videohttp://file.papertrans.cn/385/384103/384103.mp4
概述Presents the latest advances in theoretical geostatistics.Explains the latest applications of geostatistics in mining, petroleum engineering, hydrology, environmental science, and other related fields
叢書名稱Quantitative Geology and Geostatistics
圖書封面Titlebook: Geostatistics Valencia 2016;  J. Jaime Gómez-Hernández,Javier Rodrigo-Ilarri,Jos Book 2017 Springer International Publishing AG, part of Sp
描述This book contains selected contributions presented at the 10th International Geostatistics Congress held in Valencia from 5 to 9 September, 2016. This is a quadrennial congress that serves as the meeting point for any engineer, professional, practitioner or scientist working in geostatistics. The book contains carefully reviewed papers on geostatistical theory and applications in fields such as mining engineering, petroleum engineering, environmental science, hydrology, ecology, and other fields..
出版日期Book 2017
關(guān)鍵詞Geostatistics 2016 proceedings; Mining engineering; Petroleum engineering; Environmental engineering; Hy
版次1
doihttps://doi.org/10.1007/978-3-319-46819-8
isbn_softcover978-3-319-83594-5
isbn_ebook978-3-319-46819-8Series ISSN 0924-1973 Series E-ISSN 2215-1834
issn_series 0924-1973
copyrightSpringer International Publishing AG, part of Springer Nature 2017
The information of publication is updating

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Modelling Asymmetrical Facies Successions Using Pluri-Gaussian Simulations Triassic vertical facies succession in the Latemar carbonate platform (Dolomites, Northern Italy) composed of shallowing-upward cycles. The model is flexible enough to capture the different transition probabilities between the environments of deposition and to generate realistic facies successions.
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A New High-Order, Nonstationary, and Transformation Invariant Spatial Simulation Approach on the similarity of the high-order statistics of the data event of the hard data compared to those of the training image. The high-order similarity measure introduced herein is effectively invariant under all linear spatial transformations..Following the sequential simulation paradigm, the templat
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New Approach to Recoverable Resource Modelling: The Multivariate Case at Olympic Damr discusses a different approach to recoverable resource estimation based on conditional simulation methods..The Olympic Dam deposit is one the world’s largest polymetallic deposits. The resource estimation practices at the Olympic Dam are comprised of a combination of linear and non-linear techniqu
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Comparison of Two Multivariate Grade Simulation Approaches on an Iron Oxide Copper-Gold Depositluding some of the significant geological risks. A short summary of different multivariate simulation techniques is given. The process and results of multivariate simulation of total copper, acid-soluble copper, gold, and iron within the deposit using the two methodologies are presented. The focus i
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Complexities in the Geostatistical Estimation of Besshi-Type Mineral Deposits on the Northwest of Pi better results in basic and moving windows statistics. Semivariograms showed defined structures with anisotropy in the 0° and 90° directions (considering 0 to the north). To apply the lognormal kriging estimation is the main objective of this work, because of the complexities of the geology in the
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