Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 71 for “"geostatistics"”.
-
Scalable learning for geostatistics and speaker recognition
… methods targeted towards different domains, geostatistics and speaker recognition in particular. Initially we focus on kernel based learning methods and develop a GPU based parallel framework for this class of problems. An improved numerical algorithm that utilizes the GPU parallelization to …
-
The effect of locational uncertainty in geostatistics
<p>A datum is considered spatial if it contains locational information. Typically, there is also attribute information, whose distribution depends on its location. Thus, error in locational information leads to error in attribute information, which is ultimately reflected in the inference drawn …
-
Compositions, logratios and geostatistics: An application to iron ore
… to produce spurious correlations. Compositional geostatistics is an approach developed to ensure that the constant sum constraint is respected in estimation while removing dependencies on the spurious correlations. This study tests the applicability of this method against the commonly implemented …
-
Modeling forest stand structure using geostatistics, geographic information systems, and remote sensing
… traditional statistics assume independent data, geostatistics take a different approach by quantifying and modeling this spatial dependence. Underlying this approach is the expectation that, on average, samples close together have more similar values than those that are farther apart (spatial …
-
Application of financial economics and geostatistics to mineral exploration decision making, An
Includes bibliographical references (pages 258-268).
-
Uncertainty in Geothermal Numerical Models: a Contribution from Geostatistics and Bayesian Methods
Numerical models of geothermal reservoirs are a valuable tool to understand the processes that control subsurface flow and to help engineers and scientists to manage these resources. However, there are a number of uncertainties that modellers have to face to generate reliable predictions. The …
-
Model Calibration and Performance Optimization Using Multiple-Point Geostatistics and Machine Learning Techniques
… which employs the power of multiple-point geostatistics (MPS), to match production data while being constrained to other reservoir data including prior geological information. Using the PPM, one can systematically perturb a spatial distribution of reservoir properties while maintaining the …
-
Soil Heterogeneity Changes During Forest Succession: Test of a Model Using Univariate and Geostatistics
We sampled forest stands in upland forests of the Southeastern US along a chronosequence of a replicated successional forest sere (1, 6, 10, 25, and 80 years) to elucidate the temporal changes in soil spatial heterogeneity. Samples were collected from loblolly pine plantations representing …
-
Determination of Reservoir Characteristics Using Geostatistical Analysis
Geostatistics offers a robust way to estimate the spatial distribution of reservoir properties. Geostatistical methods, such as kriging, cokriging, and sequential simulation have been applied to integrate well-log data and seismic attributes. However, conventional deterministic methods of …
-
Covariance estimation on matrix manifolds
… reduction, biostatistics, signal processing, and geostatistics, among other applications. In practice, covariances often must be estimated from samples. While the sample covariance matrix is a consistent estimator, it performs poorly when the relative number of samples is small; improved …
-
On the spatial modelling of mixed and constrained geospatial data
… first proposed approach is in the multiple-point geostatistics framework, where the direct sampling algorithm is developed for joint simulation of compositional and categorical data. The second proposed method is based on two-point geostatistics and is useful for the situation where a large and …
-
MODELING THE INFLUENCE OF THE HETEROGENEOUS SUBSTRATE ON THE TRANSPORT OF THE JET FUEL SOLUTE PLUME, KIRTLAND AIR FORCE BASE, ALBUQUERQUE, NEW MEXICO
… the study area using transition probability geostatistics (T-PROGS). High conductivity materials in the travel path resulted in a faster than average breakthrough time while, if low conductivity materials were placed in the travel path, particles were either forced to divert around the low K …
-
Heterogeneity effects on flow and transport within a shallow fluvial aquifer
… The integrated method combines geophysics and geostatistics to create a more realistic approximation of subsurface features. Using grid cells of several centimeters, transport was simulated for multiple heterogeneity realizations in three directions through the models to evaluate potential …
-
The development of analysis of variance techniques for angular data.
… such as within medical statistics, biology and geostatistics, problems arise requiring the analysis of angular (or directional) data. Many possess experimental design problems and require analysis of variance techniques for suitable analysis of the angular data. These techniques have been …
-
Implementation and comparative analysis of supervised machine learning methods for domain modeling and grade estimation techniques
… to uncertainties associated with the estimates. Geostatistics, while a predominant method in resource modeling, depends on assumptions that may not always hold true, and common practices, such as variogram interpretations, and data filtering, can introduce errors early in the modeling process. …
-
Coal resource characterization using the theory of coregionalized variables
… their probabilistic premises. A general purpose geostatistics software package has been written to carry out modeling and part of the research on a personal computer. This package has been designed to provide many advantages over the existing costly and black-box type software.
-
A Knowledge-based approach of satellite image classification for urban wetland detection
… characteristics, and relevant geostatistics. Using ERDAS Imagine software's knowledge classifier tool, the decision rules are applied to the base maps in order to identify wetlands that are not able to be detected based on the pixel-based classification. The results suggest that …
-
Reservoir characterization using seismic inversion data
… meter-scale structure at the wells), and geostatistics (for correlated variability). These elements are combined in a Bayesian framework. <p>This geomodeling process creates prior models with plausible bedding geometries and facies successions. These prior models of stacking are updated, …
-
Fractal relationships and spatial distribution of ore body modelling
… of uncertainty associated with each of these. Geostatistics currently provides many methods of assessing spatial variability. Fractal dimensions also give us a measure of spatial variability and have been found to model many natural phenomenon successfully (Mandelbrot 1983, Burrough 1981), but …
Page 1 of 4