Open AccessBook
Applied Geostatistics with SGeMS: A User's Guide
Nicolas Remy,Alexandre Boucher,Jianbing Wu +2 more
- 23 Mar 2009
TL;DR: In this article, the authors present a general overview of Geostatistics: a recall of concepts, data sets, SGeMS EDA tools, common parameter input interfaces, estimation algorithms and stochastic simulation algorithms.
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Abstract: 1. Introduction 2. General overview 3. Geostatistics: a recall of concepts 4. Data sets & SGeMS EDA tools 5. Variogram computation and modeling 6. Common parameter input interfaces 7. Estimation algorithms 8. Stochastic simulation algorithms 9. Utilities 10. Scripting, commands and plug-ins List of programs List of symbols Bibliography.
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Citations
The feedback interaction between biomass accumulation and heterogeneous flow in porous media: Effect of shear stresses
TL;DR: In this paper, the authors investigated the effect of shear stresses on the spatial changes of biomass accumulation and hydraulic properties in heterogeneous porous media, and established a macroscopic correlation between the reduction of porosity and reduction of hydraulic conductivity as a result of biomass growth, and identified factors controlling such a correlation.
11
Evaluation of Tailings from a Porphyry Copper Mine based on Joint Simulation of Contaminants
Babak Sohrabian,Hojjat Hosseinzadeh Gharehgheshlagh,Saeed Soltani-Mohammadi,Jafar Abdollahi Sharif +3 more
TL;DR: In this article, nine spatially cross-correlated attributes of the Sungun porphyry copper deposit are transformed into orthogonal factors and each factor is independently simulated by generating one hundred equiprobable realizations through the direct sequential simulation or the sequential Gaussian simulation method.
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Uncertainty Quantification of CO2 Plume Migration Using Static Connectivity of Geologic Features
TL;DR: In this article, a fast alternative that scans the suite of geologic models and groups them on the basis of static connectivity is proposed, which is achieved simply by measuring the shape dissimilarity of permeable zones in the prior models using path skeletons.
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Intersectando Geoestatística com Modelagem da Demanda por Transportes: um Levantamento Bibliográfico
TL;DR: In this paper, the authors surveyed and discussed articles within the scope of traffic analysis zones, regular areas, road segments, metro stations, bus stops, and household/individual analysis, which used Simple, Ordinary, Indicator, Universal and Spatio-temporal Kriging geostatistical interpolators, in addition to Gaussian Sequential Simulation.
Resampling with in situ field portable X-ray fluorescence spectrometry (FPXRF) to reduce the uncertainty in delineating the remediation area of soil heavy metals.
TL;DR: This study delineated the high-uncertainty area (threshold-exceeding probabilities (PTE) between 30% and 70%) of soil Pb based on the 1000 realizations produced by sequential Gaussian simulation with 93 ICP-MS Pb concentrations measured in a peri-urban agriculture area, China.
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References
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
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•Book
Inverse Problem Theory and Methods for Model Parameter Estimation
Albert Tarantola
- 20 Dec 2004
TL;DR: This chapter discusses Monte Carol methods, the least-absolute values criterion and the minimax criterion, and their applications to functional inverse problems.
Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics
TL;DR: The approach proposed in this paper consists of borrowing the required multiple-point statistics from training images depicting the expected patterns of geological heterogeneities from the geostatistical numerical model where they are anchored to the actual data in a sequential simulation mode.
1.6K
The intrinsic random functions and their applications
TL;DR: The intrinsic random functions (IRF) are a particular case of the Guelfand generalized processes with stationary increments and constitute a much wider class than the stationary RF, and are used in practical applications for representing nonstationary phenomena as discussed by the authors.