Part I. 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 (Winfred Assibey-Bonsu).- Using classical Geostatistics to quantify the spatiotemporal dynamics of a neurodegenerative disease from brain MRI (Robert Marschallinger).- Part II. Theory.- Can Measurement Errors be characterized from Duplicates? (Chantal de Fouquet).- Modeling Asymmetrical facies successions using Pluri-Gaussian Simulations (Thomas Le Blévec).- Considerations for the use of sequential sampling techniques (Jaap Leguijt).- A truly multivariate Normal Score Transform based on Lagrangian Flow (Ute Mueller).- Functional Decomposition Kriging for Embedding Stochastic Anisotropy Simulations (J. A. Vargas-Guzmán).- Part III. Mining Engineering.- Usingsamples of unequal length to estimate grades in a mineral deposit (Marcel Antonio Arcari Bassani).- New Approach to Recoverable Resource Modelling: The Multivariate Case at Olympic Dam (Mario Rossi).- Comparison of two grade multivariate simulation approaches on an iron oxide copper gold deposit (Antonio Cortes).- Complexities in the geostatistics estimation of minerals deposits Besshi type on the nor-west of Pinar del Río, Cuba (José Quintín Cuador-Gil).- Definition of Operational Mining Unit (OMU) Size (Cassio Diedrich).- Optimizing Infill Drilling Decisions using Multi-armed Bandits: Application in a Long-term, Multi-element Stockpile (Rein Dirkx).- A new high-order statistical simulation that is non-stationary and transformation invariant (Amir Abbas Haji Abolhassani).- Fixing Panel Artifacts in LIK Block Models (William Hardtke).- Implications of algorithm and parameter choice: Impacts of geological uncertainty simulation methods on project decision making (Arja Jewbali).- Approaching simultaneous local and global accuracy (Danile Jasper Kentwell).- Geostatistics for Variable Geometry Veins (Alfredo Marín Suárez).- Drilling Grid Analysis for Defining Open Pit and Underground Mineral Resources Catego-rization Using Brazilian Sulphide Deposit (Cu-Au) Production Data (Roberto Menin).- A High-Order, Data-Driven Framework for Joint Simulation of Categorical Variables (Ilnur Minniakhmetov).- Conditional Bias in Kriging - Let's Keep It (Marek Nowak).- Operational SMU definition at a Brazilian copper operation (Roberto Menin).- From the spatial sampling of a deposit to mineral resources classification (Jacques Rivoirard).- Resource Model Dilution and Ore Loss: A Change of Support Approach (Oscar Rondon).- Diamond Drill Holes and Blast Holes, a Formal Study (Serge Antoine Séguret).- Building of a tonnage-surface function of metal grades and geological dilution: application to the massive and stockwork Zambujal ore deposit,Neves-Corvo mine (José António Almeida).- Application of direct sequential simulation and co-simulation for evaluation of resources and uncertainty of the Ncondezi coal deposit in Mozambique (Sara Matias Ferreira Sokhin).- Castelo de Sonhos: Geostatistical quantification of the potential size of a Paleoproterozoic conglomerate-hosted gold deposit (R. Mohan Srivastava).- A hybrid model for joint simulation of high-dimensional continuous and categorical variables (Hassan Talebi).- Performance Analysis of Continuous Resource Model Updating in Lignite Production (Cansin Yüksel).- Part IV. Petroleum Engineering.- Geostatistics on unstructured grids, theoretical background and applications (Biver Pierre).- Using Spatial Constraints in Clustering for Electrofacies Calculation (Jean-Marc Chautru).- Pore network modeling from multi-scale imaging using Multiple Point Statistics (Tatiana Chugunova).- Bernstein copula-based spatial stochastic simulation of petrophysical properties using seismic attributes as secondary variable (Martín A. Díaz-Viera).- Robust MPS-based modeling via Spectral Analysis (Morteza Elahi Naraghi).- Efficient Uncertainty Quantification and History Matching of Large-Scale Fields through Model Reduction (Jianlin Fu).- Revealing multiple geological scenarios through unsupervised clustering of posterior realizations from reflection seismic inversion (Mats Lundh Gulbrandsen).- Object modelling in a time of modern well data configurations (Ragnar Hauge).- Machine learning methods for sweet spot detection: a case study (Vera Louise Hauge).- Theoretical generalization of Markov chain random field in reservoir lithofacies stochastic simulation (Xiang Huang).- Deepwater Reservoir Connectivity Reproduction from MPS and Process-mimicking Geostatistical Methods (Michael J. Pyrcz).- Modeling of depositional environments - Shoreline trajectory - The link between Sequence Stratigraphy and Truncated Gaussian Fields (Lars Edward RyggKjellesvik).- Facies inversion with Plurigaussian lithotype rules (Lewis Li).- Combined use of object-based models, multipoint statistics and direct sequential simulation for generation of the morphology, porosity and permeability of turbidite channel systems (Inês Alexandra Costa Marques).- How to model interactions between reservoir properties for complex data structures (Håvard Goodwin Olsen).- Geostatistical Methods for Unconventional Reservoir Uncertainty Assessments (Michael J. Pyrcz).- Productivity prediction using Alternating Conditional Expectations (Emmanuel T. Schnetzler).- The adaptive plurigaussian simulation model (APS) versus the truncated plurigaussian simulation model (TPS) used in the presence of hard data (Bogdan Sebacher).- A MPS Algorithm based on Pattern Scale-down Cluster (Yu Siyu).- Integrating new data in reservoir forecasting without building new models (Sebastien Strebelle).- Statistical scale-up of dispersive transport in heterogeneous reservoir (Vikrant Vishal).- The comparative analysis of geostatistical methods on the square with a large number of wells (Evgeniy Kovalevskiy).- Part V. Hydro(geo)logy.- Building piezometric maps: contribution of geostatistical tools (Bernard Bourgine).- A gradient-based blocking Markov chain Monte Carlo method for stochastic inverse modeling (Jianlin Fu).- Geoestatistical modeling and simulation scenarios as optimizing tools for curtain grouting design and construction at a dam foundation (Vasco Gavinhos).- Inverse modeling aided by the Classification and Regression Tree (CART) algorithm (Julio César Gutiérrez-Esparza).- Numerical Simulation of Solute Transport in Groundwater Flow System using Random Walk Method (Nilkanth H. Kulkarni).- A Comparison of EnKF and EnPAT Inverse Methods: Non-Gaussianity (Liangping Li).- Stochastic Inverse Modeling of Interbed Parameters and Transmissivity Using Land Subsidence and Drawdown Data via EnKF (Liangping Li).- Influence of Heterogeneity on Heat Transport Simulations in Shallow Geothermal Systems (Javier Rodrigo-Ilarri).- Part VI. Environmental Engineering and Sciences.- Building a geological reference platform using sequence stratigraphy combined with geostatistical tools (Bernard Bourgine).- Constrained spatial clustering of climate variables for geostatistical reconstruction of optimal time series and spatial fields (Peter Dowd).- Constraining geostatistical simulations of delta hydrofacies by using machine correlation (Peter Dowd).- Assessing the performance of the gsimcli homogenisation method with precipitation monthly data from the COST-HOME benchmark (Sara Ribeiro).- Ecological Risk Evaluation of Heavy Metal Pollution in Soil in YangGu (Yingjun Sun).- Comparison of trend detection approaches in time series and their application to identify temperature changes in the Valencia region (Eastern Spain) (Peter Dowd).- Part VII. Big Data.- Urban Dynamics Estimation using Mobile Phone logs and Locally Varying Anisotropy (Oscar F. Peredo).
