Geostatistics Valencia 2016

ISBN-13: 9783319835945 / Angielski / Miękka / 2018 / 974 str.

Opis

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.

Spis treści

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