Geostatistics Toronto 2021, Avalos Sotomayor

Автор: Xavier Emery, Serge Antoine S?guret
Название: Geostatistics for the Mining Industry
ISBN: 0367643693 ISBN-13(EAN): 9780367643690
Издательство: Taylor&Francis
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Цена: 47970.00 T
Наличие на складе: Нет в наличии.
Описание: This book covers the main mining issues where geostatistics, a discipline founded in the 1960s to study regionalized variables measured at a limited number of points in space, is expected to play a role.

Автор: A.O. Soares; Jaime G?mez-Hern?ndez; Roland Froidev
Название: geoENV I — Geostatistics for Environmental Applications
ISBN: 0792345908 ISBN-13(EAN): 9780792345909
Издательство: Springer
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Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains selected contributions from the geoENV96 - First European Conference on Geostatistics for Environmental Applications, held in Lisbon in November 1996. This book presents a set of geostatistical tools and approaches used to successfully resolve a variety of specific problems in environment modelling.

Автор: Margaret A. Oliver; Richard Webster
Название: Basic Steps in Geostatistics: The Variogram and Kriging
ISBN: 3319158643 ISBN-13(EAN): 9783319158648
Издательство: Springer
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Цена: 56590.00 T
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Описание: It will guide readers sequentially through the stages of properly designed sampling, exploratory data analysis, variography (computing the variogram and modelling it), followed by ordinary kriging and finally mapping kriged estimates and their errors.

Автор: Rue
Название: Gaussian Markov Random Fields
ISBN: 1584884320 ISBN-13(EAN): 9781584884323
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.

Автор: A.O. Soares; Jaime G?mez-Hern?ndez; Roland Froidev
Название: geoENV I — Geostatistics for Environmental Applications
ISBN: 9048148618 ISBN-13(EAN): 9789048148615
Издательство: Springer
Рейтинг:
Цена: 278580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: GeoENV96, the First European Conference on Geostatistics for Environmental Applications held in Lisbon, was conceived to bring together researchers, mostly from, but not limited to Europe, working on environmental issues approached by geostatistical methods.

Автор: Y. Z. Ma
Название: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
ISBN: 3030178625 ISBN-13(EAN): 9783030178628
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Нет в наличии.
Описание: As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making.

Автор: Petter Abrahamsen; Ragnar Hauge; Odd Kolbj?rnsen
Название: Geostatistics Oslo 2012
ISBN: 9400795963 ISBN-13(EAN): 9789400795969
Издательство: Springer
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Цена: 156720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. It covers theory, petroleum, mining, and environmental, climate and hydrology.

Автор: G. Matheron; M. Armstrong
Название: Geostatistical Case Studies
ISBN: 1556080190 ISBN-13(EAN): 9781556080197
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions.

Автор: G. Matheron; M. Armstrong
Название: Geostatistical Case Studies
ISBN: 9401080186 ISBN-13(EAN): 9789401080187
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions.

Автор: Emery, Xavier , Seguret, Serge
Название: Geostatistics for the mining industry
ISBN: 0367505754 ISBN-13(EAN): 9780367505752
Издательство: Taylor&Francis
Рейтинг:
Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the main mining issues where geostatistics, a discipline founded in the 1960s to study regionalized variables measured at a limited number of points in space, is expected to play a role.

Автор: Avalos Sotomayor
Название: Geostatistics Toronto 2021
ISBN: 3031198476 ISBN-13(EAN): 9783031198472
Издательство: Springer
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Цена: 37260.00 T
Наличие на складе: Нет в наличии.
Описание: This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.

Автор: Wackernagel, Hans
Название: Multivariate Geostatistics
ISBN: 3642079113 ISBN-13(EAN): 9783642079115
Издательство: Springer
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Цена: 69650.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This fully revised third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. The text contains a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of 3 basic methods of multivariate analysis.