Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction, Srinivasan Sanjay, Leung Juliana Y.
Автор: Kelkar M., Perez G. Название: Applied Geostatistics for Reservoir Characterization ISBN: 1555630952 ISBN-13(EAN): 9781555630959 Издательство: Society of Petroleum Engineers Цена: 167200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book is written to illustrate the importance of geostatistics in improving the reservoir characterization process.
Автор: Y. Z. Ma Название: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling ISBN: 3030178625 ISBN-13(EAN): 9783030178628 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Поставка под заказ. 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: M. Armstrong; P.A. Dowd Название: Geostatistical Simulations ISBN: 0792327322 ISBN-13(EAN): 9780792327325 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains selected contributions from the Workshop on Geostatistical Simulations, which was held in Fontainebleau, May 1993. This book raises questions such as: How are simulation methods and simulated images to be assessed? and What properties of simulated images are inherent in the methods used to obtain the images?
Автор: Journel, A. G. Название: Mining geostatistics / ISBN: 1930665911 ISBN-13(EAN): 9781930665910 Издательство: Неизвестно Рейтинг: Цена: 130200.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Roussos Dimitrakopoulos Название: Geostatistics for the Next Century ISBN: 940104354X ISBN-13(EAN): 9789401043540 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To honour the remarkable contribution of Michel David in the inception, establishment and development of Geostatistics, and to promote the essence of his work, an international Forum entitled Geostatistics for the Next Century was convened in Montreal in June 1993.
Автор: M. Armstrong; P.A. Dowd Название: Geostatistical Simulations ISBN: 9048143721 ISBN-13(EAN): 9789048143726 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: M.E. Hohn Название: Geostatistics and Petroleum Geology ISBN: 9401059012 ISBN-13(EAN): 9789401059015 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is an extensive revision of a book that I wrote over ten years ago. just as I learned the basics of variography and kriging from books for mining engineers, this book could be used by scientists from many fields to learn the basics of the subject.
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: Kalkhan, Mohammed A. Название: Spatial Statistics ISBN: 0367865629 ISBN-13(EAN): 9780367865627 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Geospatial information modeling and mapping have become important tools for the investigation and management of natural resources at the landscape scale. This book reviews the types and applications of geospatial information data, such as remote sensing, GIS, and GPS, as well as their integration into landscape-scale geospatial statistical model
Автор: Stockwell, David Название: Niche Modeling ISBN: 0367389703 ISBN-13(EAN): 9780367389703 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Using theory, applications, and examples of inferences, Niche Modeling: Predictions from Statistical Distributions demonstrates how to conduct and evaluate niche modeling projects in any area of application. It features a series of theoretical and practical exercises for developing and evaluating niche models using the R statistics language. The author discusses applications of predictive modeling methods with reference to valid inferences from assumptions. He elucidates varied and simplified examples with rigor and completeness. Topics include geographic information systems, multivariate modeling, artificial intelligence methods, data handling, and information infrastructure.
Above all, successful niche modeling requires a deep understanding of the process of creating and using probability. Off-the-shelf statistical packages are tailored exactly to applications but can hide problematic complexities. Recipe book implementations fail to educate users in the details, assumptions, and pitfalls of analysis, but may be able to adapt to the specific needs of each study. Examining the sources of errors such as autocorrelation, bias, long term persistence, nonlinearity, circularity, and fraud, this seminal reference provides an understanding of the limitations and potential pitfalls of prediction, emphasizing the importance of avoiding errors.
Автор: Jaime G?mez-Hern?ndez; A.O. Soares; Roland Froidev Название: geoENV II — Geostatistics for Environmental Applications ISBN: 0792357833 ISBN-13(EAN): 9780792357834 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Illustrates the developments on geostatistics as applied to the environmental sciences. It covers air pollution; climatology; ecology; hydrogeology; and soil science theory. It also includes applications varying from particle matter analysis, noise exposure sampling, space-time modeling of ozone levels, and downscaling of precipitation.
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