Statistics and Data Analysis in Geology.

  title={Statistics and Data Analysis in Geology.},
  author={Richard Arthur Reyment and J. C. Davis},
From the Publisher: This thoroughly revised edition presents important methods in the quantitative analysis of geologic data. Retains the basic arrangement of the previous edition but expands sections on probability, nonparametric statistics, and Fourier analysis. Contains revised coverage of eigenvalues and eigenvectors, and new coverage of data analysis methods, such as the semivariogram and the process of kriging. 
Computer modelling of surfaces: Structural geology applications
Map analysis techniques are an important tool for a structural geologist. We explore the possibility of using these techniques to reconstruct the geometry of complex geological surfaces, such as
The utility of statistical analysis in structural geology
Fractal and Multifractal Models and Methods in Stratigraphy
The interpretation of stratigraphic sequences is essential for understanding of the earth’s history and for the discovery and exploitation of many resources, such as petroleum. Geologists are
Reservoir Analysis by Well Log Data
Abstract The aim of this research is to describe and characterize the reservoir sections by well log data. Well logs are used to examine the porosity, water saturation and true resistivity properties
Trend Surface Analysis of Spatial Data
ABSTRACT Geologists often generate voluminous data out of which substantial amount is distributed over space. In many instances, contours are drawn to demonstrate the variation of one or more
Statistics for Petroleum Engineers and Geoscientists
This revised edition contains expanded discussions of some materials, in particular conditional probabilities, Bayes Theorem, correlation, and Kriging, and coverage of estimation, variability, and modelling applications have been updated.
Introduction to Geostatistics
In the earth sciences in general, and, in particular, in the mineral deposits, the spatial continuity of the geological features, which can be grade of the valuable metals, concentration of the
Statistical Analysis of Physiographic and Structural Directional Data in the U.S. Midcontinent (Kansas)
Kansas, located in the stable U.S. Midcontinent, exhibits a variety of physiographic and structural directional features. The direction of river valleys, fractures including joints and faults,
Overview of Numerical Methods in Palaeolimnology
This chapter presents a general introduction and overview of the and statistical techniques that are most commonly used in quantitative palaeolimnology. After discussing the different types of