Cantitate/Preț
Produs

Geostatistics with Data of Different Support Applied to Mining Engineering: Topics in Mining, Metallurgy and Materials Engineering

Autor Marcel Antonio Arcari Bassani, João Felipe Coimbra Leite Costa
en Limba Engleză Hardback – 10 aug 2021
This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate several types of information that may have different support. This book aims to explain these geostatistical tools and provides several examples of applications. The book is directed for a broad audience, including engineers, geologists, and students in the area of Geostatistics.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 91579 lei  43-57 zile
  Springer International Publishing – 11 aug 2022 91579 lei  43-57 zile
Hardback (1) 92152 lei  43-57 zile
  Springer International Publishing – 10 aug 2021 92152 lei  43-57 zile

Din seria Topics in Mining, Metallurgy and Materials Engineering

Preț: 92152 lei

Preț vechi: 112380 lei
-18% Nou

Puncte Express: 1382

Preț estimativ în valută:
17636 18319$ 14649£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030801922
ISBN-10: 3030801926
Pagini: 75
Ilustrații: XI, 75 p. 49 illus., 45 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Topics in Mining, Metallurgy and Materials Engineering

Locul publicării:Cham, Switzerland

Cuprins

Chapter 1 - Introduction.- Chapter 2 - Kriging with data of different support.- Chapter 3 - Simulation with data of different support.- Chapter 4 - Change of support in the variogram.- Chapter 5 - Case study of kriging with data of different support.- Chapter 6 - Case study of direct sequential simulation with data of different support.- Chapter 8 - Case study of sequential indicator simulation with data of different support.- Chapter 9 - Conclusions.


Notă biografică

Marcel Bassani is currently an adjunct professor in the area of Geostatistics in the Federal University of Rio Grande do Sul. He is a mining engineer with a Masters and Doctorate Degree in the area of Geostatistics. He has worked extensively in the use of data of different support in Geostatisitcs, multivariate geostatistical simulation, and unstructured grids during his studies. His research is focused on solving real problems from the industry related to Geostatistics and building better numerical geostatistical models.
Joao Felipe Costa is a professor at Mining Engineer Department at Federal University of Rio Grande do Sul, Brazil, where he joined in 1986. Before joining the university, he served as a mining engineer at a major coal operation in south Brazil for seven years. During this time, he was involved in mining unit operations optimization involving computer applications in the early 80s. He received a B.Sc. and M.Sc. in mining engineering fromthe same university where he serves up today in 1983 and 1992, respectively. He also was awarded a Ph.D. degree in Geostatistics from the University of Queensland in 1997. He has coordinated the mineral exploration and mine planning research laboratory (LPM) at his university for the last 26 years.


Textul de pe ultima copertă

This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate several types of information that may have different support. This book aims to explain these geostatistical tools and provides several examples of applications. The book is directed for a broad audience, including engineers, geologists, and students in the area of Geostatistics.

Caracteristici

Brings mining and Geostatistics together Explains geostatistical tools Provides several practical examples