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
Mapping of coal quality using stochastic simulation and isometric logratio transformation with an application to a Texas lignite
Ricardo A. Olea,James A. Luppens +1 more
TL;DR: In this article, a series of realizations prepared by applying sequential simulation for the purpose of displaying the coal constituents in maps incorporating uncertainty is presented, including probability distributions across a deposit, E-type maps displaying average properties, and probability maps summarizing joint fluctuations of several parts.
22
Natural CO2 degassing in the Mount Amiata volcanic–geothermal area
TL;DR: In this article, a survey systematically and directly measured the natural total soil CO2 flux over the whole area, comprising 2482 measurements over an area approximately 225 km2, and provided an estimate of the area's total CO 2 flux (biogenic plus deep CO2) as 13,350 t/d.
22
Identification of trailer heat zones and associated heat stress in weaner pigs transported by road in tropical climates
Nítalo André Farias Machado,Jessica Martin,José A. D. Barbosa-Filho,Carlos Tadeu dos Santos Dias,Daniel Gurgel Pinheiro,Kenio P.L. de Oliveira,João Batista Freire Souza-Junior +6 more
TL;DR: In this article, the authors evaluated the dynamics of heat zones through the load and their relationship with heat stress of weaner pigs during road transport in a tropical climate, which can also lead to direct production costs.
22
Data inversion in coupled subsurface flow and geomechanics models
TL;DR: In this paper, an inverse modeling approach is proposed to estimate petrophysical and elastic properties of the subsurface by using the fully coupled geomechanics-flow model of Girault et al.
22
Geostatistical modelling of a coal seam for resource risk assessment
TL;DR: In this paper, an improved approach to resource risk assessment by propagating the uncertainty in semi-variogram model parameters into the spatial variability of coal variables is presented, which is illustrated with a coal seam from North-western Spain.
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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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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.