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Geostatistics Valencia 2016

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Cover of 'Geostatistics Valencia 2016'

Table of Contents

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    Book Overview
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    Chapter 1 Professor Danie Krige’s First Memorial Lecture: The Basic Tenets of Evaluating the Mineral Resource Assets of Mining Companies, as Observed in Professor Danie Krige’s Pioneering Work Over Half a Century
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    Chapter 2 Functional Decomposition Kriging for Embedding Stochastic Anisotropy Simulations
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    Chapter 3 Can Measurement Errors Be Characterized from Replicates?
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    Chapter 4 Modelling Asymmetrical Facies Successions Using Pluri-Gaussian Simulations
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    Chapter 5 Considerations for the Use of Sequential Sampling Techniques
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    Chapter 6 A New High-Order, Nonstationary, and Transformation Invariant Spatial Simulation Approach
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    Chapter 7 A Truly Multivariate Normal Score Transform Based on Lagrangian Flow
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    Chapter 8 Using Samples of Unequal Length for Estimation
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    Chapter 9 New Approach to Recoverable Resource Modelling: The Multivariate Case at Olympic Dam
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    Chapter 10 Comparison of Two Multivariate Grade Simulation Approaches on an Iron Oxide Copper-Gold Deposit
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    Chapter 11 Complexities in the Geostatistical Estimation of Besshi-Type Mineral Deposits on the Northwest of Pinar del Río, Cuba
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    Chapter 12 Definition of Operational Mining Unit (OMU) Size
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    Chapter 13 Optimizing Infill Drilling Decisions Using Multi-armed Bandits: Application in a Long-Term, Multi-element Stockpile
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    Chapter 14 Fixing Panel Artifacts in Localized Indicator Kriging (LIK) Block Models
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    Chapter 15 Implications of Algorithm and Parameter Choice: Impacts of Geological Uncertainty Simulation Methods on Project Decision Making
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    Chapter 16 Approaching Simultaneous Local and Global Accuracy
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    Chapter 17 Geostatistics for Variable Geometry Veins
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    Chapter 18 Drilling Grid Analysis for Defining Open-Pit and Underground Mineral Resource Classification through Production Data
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    Chapter 19 A High-Order, Data-Driven Framework for Joint Simulation of Categorical Variables
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    Chapter 20 Conditional Bias in Kriging: Let’s Keep It
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    Chapter 21 Operational SMU Definition of a Brazilian Copper Operation
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    Chapter 22 From the Spatial Sampling of a Deposit to Mineral Resources Classification
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    Chapter 23 Resource Model Dilution and Ore Loss: A Change of Support Approach
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    Chapter 24 Drill Holes and Blastholes
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    Chapter 25 Building a Tonnage-Surface Function for Metal Grades and Geological Dilution: An Application to the Massive and Stockwork Zambujal Ore Deposit, Neves–Corvo Mine, Portugal
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    Chapter 26 An Application of Direct Sequential Simulation and Co-simulation for Evaluating the Resource and Uncertainty of the Ncondezi Coal Deposit, Mozambique
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    Chapter 27 Castelo de Sonhos: Geostatistical Quantification of the Potential Size of a Paleoproterozoic Conglomerate-Hosted Gold Deposit
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    Chapter 28 A Hybrid Model for Joint Simulation of High-Dimensional Continuous and Categorical Variables
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    Chapter 29 Performance Analysis of Continuous Resource Model Updating in Lignite Production
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    Chapter 30 Geostatistics on Unstructured Grids, Theoretical Background, and Applications
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    Chapter 31 Using Spatial Constraints in Clustering for Electrofacies Calculation
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    Chapter 32 Pore Network Modeling from Multi-scale Imaging Using Multiple-Point Statistics
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    Chapter 33 Bernstein Copula-Based Spatial Stochastic Simulation of Petrophysical Properties Using Seismic Attributes as Secondary Variable
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    Chapter 34 Robust MPS-Based Modeling via Spectral Analysis
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    Chapter 35 Efficient Uncertainty Quantification and History Matching of Large-Scale Fields Through Model Reduction
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    Chapter 36 Revealing Multiple Geological Scenarios Through Unsupervised Clustering of Posterior Realizations from Reflection Seismic Inversion
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    Chapter 37 Object-Based Modeling with Dense Well Data
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    Chapter 38 Machine Learning Methods for Sweet Spot Detection: A Case Study
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    Chapter 39 Theoretical Generalization of Markov Chain Random Field in Reservoir Lithofacies Stochastic Simulation
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    Chapter 40 Deepwater Reservoir Connectivity Reproduction from MPS and Process-Mimicking Geostatistical Methods
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    Chapter 41 Modeling of Depositional Environments: Shoreline Trajectory – The Link Between Sequence Stratigraphy and Truncated Gaussian Fields
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    Chapter 42 Facies Inversion with Plurigaussian Lithotype Rules
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    Chapter 43 Combined Use of Object-Based Models, Multipoint Statistics and Direct Sequential Simulation for Generation of the Morphology, Porosity and Permeability of Turbidite Channel Systems
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    Chapter 44 Recent Advancements to Nonparametric Modeling of Interactions Between Reservoir Parameters
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    Chapter 45 Geostatistical Methods for Unconventional Reservoir Uncertainty Assessments
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    Chapter 46 Productivity Prediction Using Alternating Conditional Expectations
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    Chapter 47 The Adaptive Plurigaussian Simulation (APS) Model Versus the Truncated Plurigaussian Simulation (TPS) Model Used in the Presence of Hard Data
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    Chapter 48 An MPS Algorithm Based on Pattern Scale-Down Cluster
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    Chapter 49 Integrating New Data in Reservoir Forecasting Without Building New Models
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    Chapter 50 Statistical Scale-Up of Dispersive Transport in Heterogeneous Reservoir
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    Chapter 51 A Comparative Analysis of Geostatistical Methods for a Field with a Large Number of Wells
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    Chapter 52 Building Piezometric Maps: Contribution of Geostatistical Tools
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    Chapter 53 A Gradient-Based Blocking Markov Chain Monte Carlo Method for Stochastic Inverse Modeling
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    Chapter 54 Geostatistical Modelling and Simulation Scenarios as Optimizing Tools for Curtain Grouting Design and Construction at a Dam Foundation
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    Chapter 55 Inverse Modeling Aided by the Classification and Regression Tree (CART) Algorithm
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    Chapter 56 Numerical Simulation of Solute Transport in Groundwater Flow System Using Random Walk Method
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    Chapter 57 A Comparison of EnKF and EnPAT Inverse Methods: Non-Gaussianity
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    Chapter 58 Calibration of Land Subsidence Model Using the EnKF
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    Chapter 59 Influence of Heterogeneity on Heat Transport Simulations in Shallow Geothermal Systems
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    Chapter 60 Building a Geological Reference Platform Using Sequence Stratigraphy Combined with Geostatistical Tools
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    Chapter 61 Constrained Spatial Clustering of Climate Variables for Geostatistical Reconstruction of Optimal Time Series and Spatial Fields
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    Chapter 62 Constraining Geostatistical Simulations of Delta Hydrofacies by Using Machine Correlation
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    Chapter 63 Assessing the Performance of the Gsimcli Homogenisation Method with Precipitation Monthly Data from the COST-HOME Benchmark
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    Chapter 64 Ecological Risk Evaluation of Heavy Metal Pollution in Soil in Yanggu
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    Chapter 65 Comparison of Trend Detection Approaches in Time Series and Their Application to Identify Temperature Changes in the Valencia Region (Eastern Spain)
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    Chapter 66 Urban Dynamic Estimation Using Mobile Phone Logs and Locally Varying Anisotropy
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    Chapter 67 Using Classical Geostatistics to Quantify the Spatiotemporal Dynamics of a Neurodegenerative Disease from Brain MRI
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Title
Geostatistics Valencia 2016
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-46819-8
ISBNs
978-3-31-946818-1, 978-3-31-946819-8
Editors

J. Jaime Gómez-Hernández, Javier Rodrigo-Ilarri, María Elena Rodrigo-Clavero, Eduardo Cassiraga, José Antonio Vargas-Guzmán

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The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 38%
Student > Master 10 22%
Researcher 5 11%
Professor > Associate Professor 3 7%
Student > Doctoral Student 2 4%
Other 4 9%
Unknown 4 9%
Readers by discipline Count As %
Engineering 15 33%
Earth and Planetary Sciences 9 20%
Environmental Science 4 9%
Agricultural and Biological Sciences 3 7%
Computer Science 2 4%
Other 3 7%
Unknown 9 20%