This book contains selected contributions presented at the 10th International Geostatistics Congress held in Valencia from 5 to 9 September, 2016. This is a quadrennial congress that serves as the meeting point for any engineer, professional, practitioner or scientist working in geostatistics. The book contains carefully reviewed papers on geostatistical theory and applications in fields such as mining engineering, petroleum engineering, environmental science, hydrology, ecology, and other fields.

Special session in honor of professor Danie Krige
Professor Danie Krige¿s first memorial lecture: A summary of 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
Using classical Geostatistics to quantify the spatiotemporal dynamics of a neurodegenerative disease from brain MRI
 
Theory
Can Measurement Errors be characterized from Duplicates?
Modeling Asymmetrical facies successions using Pluri-Gaussian Simulations
Considerations for the use of sequential sampling techniques
A truly multivariate Normal Score Transform based on Lagrangian Flow
Functional Decomposition Kriging for Embedding Stochastic Anisotropy Simulations
 
Mining Engineering
Using samples of unequal length to estimate grades in a mineral deposit
New Approach to Recoverable Resource Modelling: The Multivariate Case at Olympic Dam
Comparison of two grade multivariate simulation approaches on an iron oxide copper gold deposit
Complexities in the geostatistics estimation of minerals deposits Besshi type on the nor-west of Pinar del Río, Cuba.
Definition of Operational Mining Unit (OMU) Size
Optimizing Infill Drilling Decisions using Multi-armed Bandits: Application in a Long-term, Multi-element Stockpile
A new high-order statistical simulation that is non-stationary and transformation invariant
Fixing Panel Artifacts in LIK Block Models
Implications of algorithm and parameter choice: Impacts of geological uncertainty simulation methods on project decision making
Approaching simultaneous local and global accuracy
Geostatistics for Variable Geometry Veins
Drilling Grid Analysis for Defining Open Pit and Underground Mineral Resources Catego-rization Using Brazilian Sulphide Deposit (Cu-Au) Production Data
A High-Order, Data-Driven Framework for Joint Simulation of Categorical Variables
Conditional Bias in Kriging - Let's Keep It
Operational SMU definition at a Brazilian copper operation
From the spatial sampling of a deposit to mineral resources classification
Resource Model Dilution and Ore Loss: A Change of Support Approach
Diamond Drill Holes and Blast Holes, a Formal Study
Building of a tonnage-surface function of metal grades and geological dilution: application to the massive and stockwork Zambujal ore deposit, Neves-Corvo mine
Application of direct sequential simulation and co-simulation for evaluation of resources and uncertainty of the Ncondezi coal deposit in Mozambique
Castelo de Sonhos: Geostatistical quantification of the potential size of a Paleoproterozoic conglomerate-hosted gold deposit
A hybrid model for joint simulation of high-dimensional continuous and categorical variables
Performance Analysis of Continuous Resource Model Updating in Lignite Production
 
Petroleum Engineering
Geostatistics on unstructured grids, theoretical background and applications.
Using Spatial Constraints in Clustering for Electrofacies Calculation
Pore network modeling from multi-scale imaging using Multiple Point Statistics.
Bernstein copula-based spatial stochastic simulation of petrophysical properties using seismic attributes as secondary variable
Robust MPS-based modeling via Spectral Analysis
Efficient Uncertainty Quantification and History Matching of Large-Scale Fields through Model Reduction
Revealing multiple geological scenarios through unsupervised clustering of posterior realizations from reflection seismic inversion
Object modelling in a time of modern well data configurations
Machine learning methods for sweet spot detection: a case study
Theoretical generalization of Markov chain random field in reservoir lithofacies stochastic simulation
Deepwater Reservoir Connectivity Reproduction from MPS and Process-mimicking Geostatistical Methods
Modeling of depositional environments - Shoreline trajectory - The link between Sequence Stratigraphy and Truncated Gaussian Fields
Facies inversion with Plurigaussian lithotype rules
Combined use of object-based models, multipoint statistics and direct sequential simulation for generation of the morphology, porosity and permeability of turbidite channel systems
How to model interactions between reservoir properties for complex data structures
Geostatistical Methods for Unconventional Reservoir Uncertainty Assessments
Productivity prediction using Alternating Conditional Expectations
The adaptive plurigaussian simulation model (APS) versus the truncated plurigaussian simulation model (TPS) used in the presence of hard data
A MPS Algorithm based on Pattern Scale-down Cluster
Integrating new data in reservoir forecasting without building new models
Statistical scale-up of dispersive transport in heterogeneous reservoir
The comparative analysis of geostatistical methods on the square with a large number of wells
 
Hydro(geo)logy
Building piezometric maps: contribution of geostatistical tools
A gradient-based blocking Markov chain Monte Carlo method for stochastic inverse modeling
Geoestatistical modeling and simulation scenarios as optimizing tools for curtain grouting design and construction at a dam foundation
Inverse modeling aided by the Classification and Regression Tree (CART) algorithm
Numerical Simulation of Solute Transport in Groundwater Flow System using Random Walk Method
A Comparison of EnKF and EnPAT Inverse Methods: Non-Gaussianity
Stochastic Inverse Modeling of Interbed Parameters and Transmissivity Using Land Subsidence and Drawdown Data via EnKF
Influence of Heterogeneity on Heat Transport Simulations in Shallow Geothermal Systems
 
Environmental Engineering and Sciences
Building a geological reference platform using sequence stratigraphy combined with geostatistical tools
Constrained spatial clustering of climate variables for geostatistical reconstruction of optimal time series and spatial fields
Constraining geostatistical simulations of delta hydrofacies by using machine correlation
Assessing the performance of the gsimcli homogenisation method with precipitation monthly data from the COST-HOME benchmark
Ecological Risk Evaluation of Heavy Metal Pollution in Soil in YangGu
Comparison of trend detection approaches in time series and their application to identify temperature changes in the Valencia region (Eastern Spain)
 
Big Data
Urban Dynamics Estimation using Mobile Phone logs and Locally Varying Anisotropy