Добрый день, Коллеги. Важное сообщение, просьба принять участие. Музей Ферсмана ищет помощь для реставрационных работ в помещении. Подробности по ссылке
This book grew out of class notes for a course that served two purposes: 1. To familiarize graduate students in hydrogeology and environmental engineering with some practical methods for solving interpolation and related estimation problems. The course emphasized geostatistical methods. 2. To illustrate how one may use data to develop empirical models, that is, to provide an introduction to applied statistical modeling.
This guide evolved from the materials that I have gathered over the years, mainly as lecture notes used for the 5–day training course GEOSTAT. This means that, in order to understand the structure of this book, it is important that you understand how the course evolved and how did the students respond to this process. The GEOSTAT training course was originally designed as a three–week block module with a balanced combination of theoretical lessons, hands on software training and self-study exercises.
Горная геология является специализированной областью прикладных геологических наук, которая исторически развивалась как поддержка эксплуатации рудников и оценки горных проектов. Основной задачей горной геологии является предоставление подробной геологической информации, а также проведение техникоэкономических исследований для оценки проекта горных работ. Когда начинается добыча, горные геологи обеспечивают геологическое сопровождение работы, обеспечивая экономически эффективную добычу ценных минералов и их точное отделение от пустых пород.
Subsurface fluid flow is critically dependent on the 3D distribution of petrophysical properties in rocks. In sequences of sedimentary rocks these properties are strongly influenced by lithology and facies distribution that stem from the geologic processes that generated them.
The natural resources on the earth seem to be randomly distributed but their variations over space and time are not all random. They exhibit a spatial correlation. This spatial correlation can be captured by geostatistics. Geostatistics deals with the analysis and modelling of geo-referenced data. The point observations are analyzed and interpolated to create spatial maps. For geostatistical interpolation, first the spatial correlation structures of the parameter of interest are quantified and then spatial interpolation is done using the quantified spatial correlation and optimal predictions at unobserved locations to create a map.
Пространство, структура и случайность. Вклад в честь Джорджа Матерона в области геостатистики, случайных множеств и математической морфологии
Personal Reminiscences of Georges Matheron Dietrich Stoyan A few words about Georges Matheron (1930-2000) Jean Serra Introduction From the editors Part I Geostatistics
Accurate recoverable resource estimation and grade control procedures are the foundation of successful mining ventures. Long, medium and short term planning in a mining operation are all dependent upon precise estimations. For example, poor estimation may result in the long term in a pit being incorrectly optimised, in the medium term cashflow forecasts may be disastrously inaccurate, and in the short term the allocation of ore and waste material by grade control may be erroneous.
In this introductory chapter we describe general problems of spatial environmental data analysis, modeling, validation and visualization. Many of these problems are considered in detail in the following chapters using geostatistical models, machine learning algorithms (MLA) of neural networks and Support Vector Machines, and the Bayesian Maximum Entropy (BME) approach. The term “mapping” in the book is considered not only as an interpolation in two- or threedimensional geographical space, but in a more general sense of estimating the desired dependencies from empirical data.
