Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling, Y. Z. Ma

Автор: Crockett, Robin (university Of Northampton)
Название: A Primer on Fourier Analysis for the Geosciences
ISBN: 1316600246 ISBN-13(EAN): 9781316600245
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: An intuitive introduction to basic Fourier theory, with an emphasis on geoscience applications. Numerous worked examples from R are used to illustrate the theory, making this an ideal practical guide for graduate students and researchers who are using time-series analysis to quantify periodic features in geoscience data.

Автор: Goovaerts, Pierre.
Название: Geostatistics for natural resources evaluation /
ISBN: 0195115384 ISBN-13(EAN): 9780195115383
Издательство: Oxford Academ
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Цена: 24552.00 р.
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Описание: This text covers areas of geostatistical methodology, including: tools for description; quantitative modelling of spatial continuity; spatial prediction; and theoretical background for GSLIB programmes. Application is to environmental data, but the algorithms may be used in other disciplines.

Автор: Leuangthong
Название: Solved Problems in Geostatistics
ISBN: 0470177926 ISBN-13(EAN): 9780470177921
Издательство: Wiley
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Цена: 15357.00 р.
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Описание: Solved Problems in Geostatistics brings together exercises and projects that demonstrate key principles and build strong bridges between theory and practice. Each chapter focuses on a comprehensive topic with examples and problems for a technologically evolving audience.

Автор: Wackernagel, Hans
Название: Multivariate Geostatistics
ISBN: 3642079113 ISBN-13(EAN): 9783642079115
Издательство: Springer
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Цена: 10447.00 р.
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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.

Автор: Naderpour, Novid Kordmahleh, F.h.
Название: Petroleum geosciences
ISBN: 8189741659 ISBN-13(EAN): 9788189741655
Издательство: Amazon Internet
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Цена: 9084.00 р.
Наличие на складе: Невозможна поставка.

Описание: Petroleum Geology is principally concerned with the evaluation of seven key elements in sedimentary basins namely, Source, Reservoir, Seal, Trap, Timing, Maturation and Migration. This book studies geology and geophysics in determining the origin, distribution and properties of petroleum and petroleum bearing rocks.

Автор: Tomasz Niedzielski (Editor)
Название: Applications of unmanned aerial vehicles in geosciences.
ISBN: 3030031705 ISBN-13(EAN): 9783030031701
Издательство: Springer
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Цена: 11878.00 р.
Наличие на складе: Нет в наличии.

Описание: Geophysicists use UAVs to observe underground features, geologists and geomorphologists utilize drones to carry out detailed survey of Earth`s surface, hydrologists apply UAVs to observe water bodies and conduct hydrometric measurements, and meteorologists use drones to measure weather characteristics and air quality.

Автор: Akif A. Alizadeh and Ibrahim S. Guliyev
Название: Geosciences of Azerbaijan: Volume II
ISBN: 3319821172 ISBN-13(EAN): 9783319821177
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book provides a review of Azerbaijan's water reserves and main economic deposits (both hydrocarbon and hard) and describes the integrated application of geophysical methods (land, airborne, shipborne and satellite) for studying near-surface and environmental features and regional tectonic-geophysical zonation as well as the study of deep structures in the search for hydrocarbon and hard (polymetallic, copper, gold-bearing, iron-ore, magnetite, etc.) deposits. It particularly focuses on the geophysical examination of seismic activity in the region related to the interaction of the Afro-Arabian and Eurasian lithospheric plates. It is aimed at scientists, engineers and students interested in the commercial potential of Azerbaijan's deposits and the application of different geophysical methodologies (gravity, magnetic, seismic, thermal, electric, electromagnetic, etc.) for analyzing mud volcanism, identifying subsurface structures (including the analysis of hydrogeological problems, the examination of past climates and archaeological inspection) revealing the deep tectono-structural peculiarities of the region under study, mining and oil & gas geophysics, development of 3D physical-geological models and advanced seismological prognosis.

Автор: Y. Zee Ma
Название: Quantitative Geosciences
ISBN: 3030178595 ISBN-13(EAN): 9783030178598
Издательство: Springer
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Цена: 15245.00 р.
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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: Georges Verly; Michel David; Andre G. Journel; Ala
Название: Geostatistics for Natural Resources Characterization
ISBN: 9401081573 ISBN-13(EAN): 9789401081573
Издательство: Springer
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Цена: 12157.00 р.
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Автор: G. Verly; M. David; A. G. Journel; A. Marechal
Название: Geostatistics for Natural Resources Characterization
ISBN: 9401081581 ISBN-13(EAN): 9789401081580
Издательство: Springer
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Цена: 6986.00 р.
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Автор: Emery, Xavier , Seguret, Serge
Название: Geostatistics for the mining industry
ISBN: 0367505754 ISBN-13(EAN): 9780367505752
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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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: Rue
Название: Gaussian Markov Random Fields
ISBN: 1584884320 ISBN-13(EAN): 9781584884323
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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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.