Geostatistics Valencia 2016

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.

Inhalt

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 Ribei…