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Geostatistics with Data of Different Support Applied to Mining Engineering

ISBN-13: 9783030801953 / Angielski / Miękka / 2022

Marcel Antonio Arcari Bassani;João Felipe Coimbra Leite Costa
Geostatistics with Data of Different Support Applied to Mining Engineering Marcel Antonio Arcari Bassani, João Felipe Coimbra Leite Costa 9783030801953 Springer International Publishing - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Geostatistics with Data of Different Support Applied to Mining Engineering

ISBN-13: 9783030801953 / Angielski / Miękka / 2022

Marcel Antonio Arcari Bassani;João Felipe Coimbra Leite Costa
cena 605,23
(netto: 576,41 VAT:  5%)

Najniższa cena z 30 dni: 578,30
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

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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.

Kategorie:
Technologie
Kategorie BISAC:
Science > Earth Sciences - Meteorology & Climatology
Technology & Engineering > Mining
Technology & Engineering > Civil - Soil & Rock
Wydawca:
Springer International Publishing
Seria wydawnicza:
Topics in Mining, Metallurgy and Materials Engineering
Język:
Angielski
ISBN-13:
9783030801953
Rok wydania:
2022
Waga:
0.15 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Dodatkowe informacje:
Wydanie ilustrowane

Introduction

Estimation with data of different support

Simulation with data of different support

Change of support of the variogram

Case study of Kriging with data of different support

Case study of Direct Sequential Simulation with data of different support

Case study of Sequential Indicator Simulation with data of different support

Conclusions

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 from the 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.


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.



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