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Showing 1 to 7 of 7 for “"Geostatistical simulation"”.

  1. Multivariate geostatistical simulation of compositional data using Principal Component Analysis

    … we present a simple methodology for multivariate geostatistical modeling of compositional data using Principal Component Analysis (PCA). According to the methodology, grades are, first, transformed to log-ratios. Then, these log-ratios are linearly transformed to Principal Components (PCs). PCA …

    queens Repository record for Multivariate geostatistical simulation of compositional data using Principal Component Analysis (opens in a new tab)

  2. On the spatial modelling of mixed and constrained geospatial data

    … on the original compositional data. Several geostatistical techniques have been developed recently for the spatial modelling of compositional data. However, few of these consider the joint statistical and/or spatial relationships of regionalized compositional data with the other dependent …

    edithcowan Repository record for On the spatial modelling of mixed and constrained geospatial data (opens in a new tab)

  3. Fractal relationships and spatial distribution of ore body modelling

    … effort. The principal aim of almost every geostatistical modelling process is to predict the spatial variation of one or more geological variables in order to estimate values of those variables at locations that have not been sampled. From the spatial analysis of these variables, in …

    edithcowan Repository record for Fractal relationships and spatial distribution of ore body modelling (opens in a new tab)

  4. Uncertainty in Geothermal Numerical Models: a Contribution from Geostatistics and Bayesian Methods

    … of geological uncertainty was addressed by geostatistical simulation. Multiple-point statistics (MPS) algorithms were introduced. The main feature of a MPS algorithm is that it relies on a training image and through the use of multiple training images spatial uncertainties in subsurface flow …

    auckland-ms Repository record for Uncertainty in Geothermal Numerical Models: a Contribution from Geostatistics and Bayesian Methods (opens in a new tab)

  5. Continuous reservoir model updating by ensemble Kalman filter on Grid computing architectures

    … were developed and applied to designed reservoir simulation studies and continuous reservoir model updating. The toolkit provides reservoir engineers with high performance computing capacity to complete their projects without requiring them to delve into Grid resource heterogeneity, security …

    lsu-thes Repository record for Continuous reservoir model updating by ensemble Kalman filter on Grid computing architectures (opens in a new tab)

  6. Synthetic High Resolution Block Model for Benchmarking Mining Technologies

    Variability of the rock properties and the uncertainty associated with their estimation in the blocks mined and processed becloud the decision making in the mining value chain. In addition to grades of elements and minerals of interest, the presence of deleterious materials, as well as varying …

    queens Repository record for Synthetic High Resolution Block Model for Benchmarking Mining Technologies (opens in a new tab)

  7. Modelo y simulación hidrogeológica para la sostenibilidad del acuífero libre de los Montes Torozos

    … analysis, together with hydrogeological and geostatistical simulation methodologies (the used software was the SpaceStat, 4.08). The results, allows their spatial analysis and visualization, as well as its evolution over the last 50 years. Land-use temporal evolution mapping was performed …

    dialnet Repository record for Modelo y simulación hidrogeológica para la sostenibilidad del acuífero libre de los Montes Torozos (opens in a new tab)