Boggy's links to geo software

Books about geo software

	Reliability & Statistics in Geotechnical Engineering Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems. Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms Includes extensive use of case studies Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes.
	Geostatistics for Engineers and Earth Scientists Engineers and earth scientists are increasingly interested in quantitative methods for the analysis, interpretation, and modeling of data that imperfectly describe natural processes or attributes measured at geographical locations. Inference from imperfect knowledge is the realm of classical statistics. In the case of many natural phenomena, auto- and cross- correlation preclude the use of classical statistics. The appropriate choice in such circumstances is geostatistics, a collection of numerical techniques for the characterization of spatial attributes similar to the treatment in time series analysis of auto-correlated temporal data. As in time series analysis, most geostatistical techniques employ random variables to model the uncertainty that goes with the assessments. The applicability of the methods is not limited by the physical nature of the attributes. Geostatistics for Engineers and Earth Scientists presents a concise introduction to geostatistics with an emphasis on detailed explanations of methods that are parsimonious, nonredundant, and through the test of time have proved to work satisfactorily for a variety of attributes and sampling schemes. Most of these methods are various forms of kriging and stochastic simulation. The presentation follows a modular approach making each chapter as self-contained as possible, thereby allowing for reading of individual chapters, reducing excessive cross-referencing to previous results and offering possibilities for reviewing similar derivations under slightly different circumstances. Guidelines and rules are offered wherever possible to help choose from among alternative methods and to select parameters, thus relieving the user from making subjective calls based on an experience that has yet to be acquired. Geostatistics for Engineers and Earth Scientists is intended to assist in the formal teaching of geostatistics or as a self tutorial for anybody who is motivated to employ geostatistics for sampling design, data analysis, or natural resource characterization. Real data sets are used to illustrate the application of the methodology.
	Statistics with Applications in Biology and Geology Designed as a first course in statistics for students in biology and geology, this book gives a practical introduction to using the fundamental parametric statistical models frequently used in those disciplines. The focus is on analyzing data, but it retains a firm basis in models, the likelihood methods, and numeracy. The author illustrates how calculations are performed using the SAS software package, but his presentation extends easily to other software. The SAS programs and data used in examples and exercises are available for download from the Internet.
	Statistical Evaluations in Exploration for Mineral Deposits Focuses not only on theory, but examples are also given, frequently originating from experience in mineral exploration by the author who worked worldwide for a mining company.
	Evaluation of Uncertainties and Risks in Geology High levels of uncertainty are a trademark of geological investigations, such as the search for oil, diamonds, and uranium. So business ventures related to geology, such as mineral exploration and mining, are naturally associated with higher risks than more traditional entrepreneurial ventures in industry and economy. There are also a number of dangerous natural hazards, e.g. earthquakes, volcanic activities, and inundations, that are the direct result of geological processes. It is of paramount interest to study them all, to describe them, to understand their origin and - if possible - to predict them. While uncertainties, geological risks and natural hazards are often mentioned in geological textbooks, conferences papers, and articles, no comprehensive and systematic evaluation has so far been attempted. This book, written at an appropriately sophisticated level to deal with complexity of these problems, presents a detailed evaluation of the entire problem, discussing it from both, the geological and the mathematical aspects.
	An Introduction to Applied Geostatistics This book presents an introduction to the set of tools that has become known commonly as geostatistics.
	Geostatistics: Modeling Spatial Uncertainty This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty.
	Statistics and Data Analysis in Geology Thoroughly revised and updated, this new edition of the text that helped define the field continues to present important methods in the quantitative analysis of geologic data, while showing students how statistics and computing can be applied to commonly encountered problems in the earth sciences. In addition to new and expanded coverage of key topics, the Third Edition features new pedagogy, end-of-chapter review exercises, and an accompanying website that contains all of the data for every example and exercise found in the book.
	Statistics for Petroleum Engineers and Geoscientists A complete guide to statistics for petroleum industry professionals who develop and use reservoir models for fluid flow. This book will help petroleum professionals develop more accurate models, leading to lower sampling costs. It starts with a detailed description of methods for exploring the statistical and geological relationships of data, including histograms, averages, confidence intervals, and measures of variability. Next, the book presents procedures for producing flow models. Linear regression, Kriging, simulated annealing, and other methods are described. The last chapter covers a variety of geological environments, presenting case studies, and shows how the statistical procedures discussed can be used to develop reliable flow models. This is an ideal book for petroleum engineers, geoscientists, hydrologists, and faculty and students in these and related fields.