Centre for Computational Geostatistics Annual Reports

CCG > Resources > Centre for Computational Geostatistics Annual Reports

Papers from CCG Annual Reports that are more than five years old are made available for public reference. Recent papers, software, data files and other resources are available to CCG members only; no exceptions. The tiered membership of CCG provides access to any size organization. Please inquire regarding membership.

CCG Annual Report 25 – 2023

  • Ben Harding and Clayton V. Deutsch, 2023, Network Model of Regionalization Parameter Inference, CCG Paper 2023-101, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2023, Application of the Network Model of Regionalization: a Case Study, CCG Paper 2023-102, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2023, Imputation of Latent Factors with Sequential Gaussian Rejection Imputation, CCG Paper 2023-103, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jinpyo Kim and Clayton V. Deutsch, 2023, A Flexible Data Error Model for Fitting Heterotopic Data, CCG Paper 2023-104, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jinpyo Kim and Clayton V. Deutsch, 2023, Enhancing Estimation Model Accuracy with Multiple Imputation and Data Error Model, CCG Paper 2023-105, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2023, Effects of Parameter Uncertainty on the Modeling of Geological Variables, CCG Paper 2023-106, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2023, Simultaneous modeling of Trend, Histogram and Variogram Uncertainty, CCG Paper 2023-107, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2023, Short Note: Maximum Likelihood Estimation of Variogram Uncertainty, CCG Paper 2023-108, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luis Davila and Clayton Deutsch, 2023, Automatic Variogram Calculation and Modeling, CCG Paper 2023-109, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luis Davila and Clayton Deutsch, 2023, Comparison between autovar and varcalc varmodel, CCG Paper 2023-110, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luis Davila and Clayton Deutsch, 2023, Comparison between autovar and varcalc varmodel, CCG Paper 2023-111, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2023, Comparative Analysis of Two Proposed CNN Based Workflows for Automatic Variogram Inference, CCG Paper 2023-112, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2023, Application of CNN Based Approach on a 3D Dataset for Horizontal Variogram Inference, CCG Paper 2023-113, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Boisvert, Jeff B., 2023, Subsurface Model Estimation Using CNN, CCG Paper 2023-114, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Binakaj, Defrim; Boisvert, Jeff B., 2023, Update on Data Validation Project: A Collection of 2D Multivariate, Continuous, and Categorical Datasets, CCG Paper 2023-115, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Debastuti Ghosh, Jeffery Boisvert and Bo Zhang, 2023, Automated Sample Extraction from Core Trays, CCG Paper 2023-116, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Debastuti Ghosh, Jeff Boisvert and Bo Zhang, 2023, Transformers, CNNs and hybrid models for Core Data Analysis, CCG Paper 2023-117, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Debastuti Ghosh, Jeff Boisvert and Bo Zhang, 2023, Comprehensive Findings Utilizing Diverse Datasets for Core Data Analysis, CCG Paper 2023-118, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luiz Gustavo Rasera, Jeff Boisvert, and Shaun Barker, 2023, Accelerating shortest-path distance computation using pathfinding heuristics, CCG Paper 2023-119, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luiz Gustavo Rasera, Jeff Boisvert, and Shaun Barker, 2023, Advancements in implicit geological modeling, Luiz Gustavo Rasera, CCG Paper 2023-120, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paulo M. Dias, Clayton V. Deutsch, Jeffery B. Boisvert, 2023, A Single Component Objective Function for Grouping Categories for Optimal Prediction of a Continuous Variable, CCG Paper 2023-121, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paulo M. Dias, Clayton V. Deutsch, Jeffery B. Boisvert, 2023, Exploring Different Optimization Methods for Establishing Statistically Consistent Groups to Predict a Continuous Variable, CCG Paper 2023-122, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paulo M. Dias, Clayton V. Deutsch, Jeffery B. Boisvert, 2023, Order Preservation and Exhaustive Search in Optimal Grouping Categories, CCG Paper 2023-123, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rafael B. Ortiz and Clayton Deutsch, 2023, Practical Considerations for Categorical Indicator Variograms, CCG Paper 2023-124, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rafael B. Ortiz and Clayton Deutsch, 2023, Comparison of kriging algorithms against MPS for categorical variables, CCG Paper 2023-125, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rafael B. Ortiz and Clayton Deutsch, 2023, Characteristics of Indicator Cross covariances for categorical variables; Comparison between OCK and OK Covariances from Image and LMC, CCG Paper 2023-126, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Zahra Ashtiani and Clayton V. Deutsch, 2023, Kriging with Constraints, CCG Paper 2023-127, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Thiago A. Mizuno and Clayton V. Deutsch, 2023, Optimized procedure for modeling using trend and secondary variables, CCG Paper 2023-128, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Thiago A. Mizuno and Clayton V. Deutsch, 2023, Evaluation of the significance of trends, CCG Paper 2023-129, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Thiago A. Mizuno and Clayton V. Deutsch, 2023, Identifying bias in trends using the Leave One Out approach, CCG Paper 2023-130, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Clayton V. Deutsch, 2023, Some Thoughts on Kriging Search Plans, CCG Paper 2023-131, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Clayton V. Deutsch, 2023, The Place of Geostatistical Simulation through the Life Cycle of a Mineral Deposit, CCG Paper 2023-132, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Clayton V. Deutsch, 2023, Special Topics in Data Spacing Calculation: The Three-Hole Rule and Considering Multiple Data Types, CCG Paper 2023-133, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Joyce C. Bazania and Jeff B. Boisvert, 2023, Analysis of Classification Workflows and Industry Practice, CCG Paper 2023-134, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Joyce C. Bazania and Jeff B. Boisvert, 2023, Predictive Modeling for Mineral Resource Classification Criteria: A Data-Driven Approach, CCG Paper 2023-135, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rose A. Aduko and Clayton V. Deutsch, 2023, Optimal Compositing in Resource Modeling, CCG Paper 2023-136, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rose A. Aduko and Clayton V. Deutsch, 2023, Grade Control in Open-pit Mining, CCG Paper 2023-137, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Karim Mokdad, Camilla Zacche da Silva, Jed Nisenson, Gabriela Brandao, and Jeff Boisvert, 2023, Ensemble Machine Learning Geostatistical Hybrid Models for Grade Control, CCG Paper 2023-138, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Karim Mokdad, Camilla Zacche da Silva, Jed Nisenson, Gabriela Brandao, and Jeff Boisvert, 2023, Human AI Interaction: Machine Learning Based Geostatistical Hybrid Models, CCG Paper 2023-139, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Camilla Zacche da Silva, Kevin Palmer, Gabriela Brandao, and Jeff Boisvert, 2023, Mid-Term Modeling with Ensemble Machine Learning Methods, CCG Paper 2023-140, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Oktay Erten, C. Özgen Karacan, Jeff Boisvert, Clayton V. Deutsch, 2023, Merging Machine Learning and Geostatistical Approaches for Spatial Modeling of Geoenergy Resources, CCG Paper 2023-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2023, A Comparative Study of Geostatistical Modeling for Grade Control Models in Mining Operations, CCG Paper 2023-142, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2023, Exploring Volume Variance Relations and Optimal Grid Sizing Relative to Data Spacing for Grade Control Modeling, CCG Paper 2023-143, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2023, Evaluation and Optimization of Long Range Geostatistical Models for Resource Estimation, CCG Paper 2023-144, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Caio Gomes, Jeff Boisvert and Clayton Deutsch, 2023, How geology, continuity, selectivity, prices and sampling errors affect drill holes optimal spacing for profit: an experimental Grade control scheme, CCG Paper 2023-145, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Caio Gomes, Jeff Boisvert and Clayton Deutsch, 2023, Regular drill hole spacing optimization for profit applied to a case study: Grade control data of a copper molybdenum deposit, CCG Paper 2023-146, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Caio Gomes, Jeff Boisvert and Clayton Deutsch, 2023, Ore waste targeted drill hole spacing optimization applied to real data: concomitantly optimizing infill and grade control grids, CCG Paper 2023-147, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Roberto Noriega and Jeff Boisvert, 2023, Stope Design with Reinforcement Learning, CCG Paper 2023-148, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Sebastian Sanchez, Clayton Deutsch, and Jeff Boisvert, 2023, MIK: Influence of negative weights on order relation issues, CCG Paper 2023-149, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Sebastián Sánchez, Clayton Deutsch, and Jeff Boisvert, 2023, Derivation of bivariate probabilities from indicator variograms of continuous variables, CCG Paper 2023-150, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Sebastian Sanchez, Clayton Deutsch, and Jeff Boisvert, 2023, Bivariate probabilities as a metric for indicator variograms consistency of continuous variables, CCG Paper 2023-151, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Sebastian Sanchez, Clayton Deutsch, and Jeff Boisvert, 2023, MIK: Workflow to address indicator variograms consistency and order relation issues, CCG Paper 2023-152, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Georgios Tsekeris, Bo Zhang, and Clayton V. Deutsch, 2023, Categorical Variable Distributions in Geostatistics, CCG Paper 2023-153, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Georgios Tsekeris, Bo Zhang, and Clayton V. Deutsch, 2023, Modeling with High Resolution Stratigraphic Models, CCG Paper 2023-154, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2023, A look of computational stratigraphy models in deltaic deposition environment, CCG Paper 2023-155, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2023, Review of Generative adversarial network (GANs) in geological modeling, CCG Paper 2023-156, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2023, High dimensional visualization using G SNE visualization in geological modeling, CCG Paper 2023-157, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2023, Numerical comparison of 2D and 3D uncertainty quantification in geostatistical modeling in stratigraphic formations, CCG Paper 2023-158, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2023, Analytical comparison of 2D and 3D uncertainty quantification in geostatistical modeling in stratigraphic formations, CCG Paper 2023-159, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2023, Optimization of sample pairing to maximize correlation between wells drillholes, a case study of the McMurray formation of Northern Alberta, CCG Paper 2023-160, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Joyce C. Bazania and Jeff B. Boisvert, 2023, Sequential Gaussian Simulation (SGS), CCG Paper 2023-161, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Debastuti Ghosh, Jeff Boisvert and Bo Zhang, 2023, Modelling of Locally Varying Anisotropy or Dynamic Anisotropy, CCG Paper 2023-162, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mohammad Fahiminia, Omid Asghari, Jeff Boisvert, 2023, Spatial K-fold partitioning in 3D space, CCG Paper 2023-163, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada

CCG Annual Report 24 – 2022

  • Sebastian Sanchez, Clayton Deutsch and Jeffery Boisvert, 2022, Constrained RBF for Multiple Indicator Kriging, CCG Paper 2022-101, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Compositional Data and Simplicial Kriging, 2022, A comparison between Multiple Indicator Kriging methodologies: Constrained RBF, CCG Paper 2022-102, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Sebastian Sanchez, Clayton Deutsch and Jeffery Boisvert, 2022, Derivation of probability constraints for Multiple Indicator Kriging, CCG Paper 2022-103, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luis Davila and Clayton V. Deutsch, 2022, Investigation of NonGaussian Behavior of Images, CCG Paper 2022-104, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luis Davila and Clayton V. Deutsch, 2022, Automatic variogram modeling, CCG Paper 2022-105, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luis Davila and Clayton V. Deutsch, 2022, Cokriging with Unequally Sampled Data, CCG Paper 2022-106, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luis Davila and Clayton V. Deutsch, 2022, Practical trend modeling with TrendGWA program, CCG Paper 2022-107, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2022, Update on Automatic Variogram Inference Using CNN, CCG Paper 2022-108, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2022, Convolutional Neural Networks Hyperparameters Tuning, CCG Paper 2022-109, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Binakaj, Defrim; Boisvert, Jeff B., 2022, Data Validation Project: Validation of 114 Spatial 2D Datasets Nonsynthetic Data, CCG Paper 2022-110, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2022, Application of the Data Validation Project on Automatic Variogram Inference, CCG Paper 2022-111, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rafael B. Ortiz and Clayton Deutsch, 2022, Revisiting Simulated Annealing Simulation, CCG Paper 2022-112, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rafael B. Ortiz and Clayton Deutsch, 2022, The Multivariate Gaussian Distribution, CCG Paper 2022-113, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Rafael B. Ortiz and Clayton Deutsch, 2022, Categorical Indicator Variogram Covariance in the presence of Clustered data and NonStationarity, CCG Paper 2022-114, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Zahra Hadavand, Clayton V. Deutsch, 2022, Derivation of Locally Varying Angles from Mass Moment of Inertia Tensor, CCG Paper 2022-115, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paulo M. Dias, Jeffery B. Boisvert, Clayton V. Deutsch, 2022, Assignment of Categorical Labels to Geological Models in the Presence of Uncertainty, CCG Paper 2022-116, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paulo M. Dias, Jeffery B. Boisvert, Clayton V. Deutsch, 2022, Grouping Categorical Variables to Get the Best Possible Prediction of One Continuous Variable, CCG Paper 2022-117, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paulo M. Dias, Jeffery B. Boisvert, Clayton V. Deutsch, 2022, Attempts on Getting the Best Groups for Categorical Variables to Predict a Continuous Variable, CCG Paper 2022-118, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jinpyo Kim and Clayton V. Deutsch, 2022, Calculation and Modeling of Variogram Anisotropy, CCG Paper 2022-119, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jinpyo Kim and Clayton V. Deutsch, 2022, Intrinsic Model to Cokriging with Multiple Data Types, CCG Paper 2022-120, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jinpyo Kim and Clayton V. Deutsch, 2022, Multiple and Mixed Data Type Imputation, CCG Paper 2022-121, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Harold G. Velasquez and Clayton V. Deutsch, 2022, Alternative Measure of Distance for Truncation Tree Inference in HTPG Fortran Code, CCG Paper 2022-122, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Harold G. Velasquez and Clayton V. Deutsch, 2022, Spectral Graph Partitioning and its Application for Tree Inference in HTPG, CCG Paper 2022-123, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Harold G. Velasquez and Clayton V. Deutsch, 2022, Measures of Goodness and Truncation Tree Selection in HTPG, CCG Paper 2022-124, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Chen, Xuezheng; Mokdad, Karim; Boisvert, Jeff B., 2022, Accuracy of Federated Learning Applied to Clustering, CCG Paper 2022-125, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2022, Measures of NonGaussianity from Sequences of Data, CCG Paper 2022-126, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2022, Network Mixing Models for NonGaussian Spatial Features, CCG Paper 2022-127, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding, Rodolfo Lagos and Clayton V. Deutsch, 2022, Probabilistic Modeling of the Round Mountain Au Deposit: A Case Study, CCG Paper 2022-128, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2022, Assessment of the Potential for Extreme High Grades, CCG Paper 2022-129, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Luiz Gustavo Rasera, Shaun Barker, and Jeff Boisvert, 2022, Implicit Geological Modeling with Locally Varying Anisotropy, CCG Paper 2022-130, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Camilla Zacche DaSilva, Jeff Boisvert, 2022, Automated Grade Control with LWSVR and ICCK, CCG Paper 2022-131, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Camilla Zacche DaSilva, Jeff Boisvert, 2022, Guide to the Grade control Notebook, CCG Paper 2022-132, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Caio Gomes, Jeff Boisvert and Clayton V. Deutsch, 2022, GradeControl Drillhole Spacing Analysis for maximizing Profit, CCG Paper 2022-133, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Caio Gomes, Jeff Boisvert and Clayton V. Deutsch, 2022, A two-phase Drillhole Spacing Analysis targeted at OreWaste boundaries, CCG Paper 2022-134, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Caio Gomes, Jeff Boisvert and Clayton V. Deutsch, 2022, Gaussian Mixture Models, CCG Paper 2022-135, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten Fabio Pereira and Clayton V. Deutsch, 2022, Projection Pursuit Multivariate Sampling of Parameter Uncertainty, CCG Paper 2022-136, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2022, Practical Workflow for Bauxite Resource Assessment Considering Operational Ferricrete Dilution, CCG Paper 2022-137, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2022, Time Profiling for the PPMT Program, CCG Paper 2022-138, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2022, Definition of grade control limits and reserves, CCG Paper 2022-139, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2022, Grade control based on stochastic simulation and economics: Example, CCG Paper 2022-140, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jing Bai and Clayton V. Deutsch, 2022, Overview of Multiple Imputation for Modeling Tabular Deposits, CCG Paper 2022-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Pedro Campos and others, 2022, Blending model for nonlinear properties, CCG Paper 2022-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Pedro Campos and others, 2022, Short-term schedule optimization, CCG Paper 2022-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Pedro Campos and others, 2022, Complexities of data and variables related to geometallurgical spatial modelling, CCG Paper 2022-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Pedro Campos and others, 2022, Spatial prediction and mine planning using geometallurgical data Application example, CCG Paper 2022-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2022, Methodology of comparing uncertainty quantification in 2D and 3D geostatistical modeling workflows, CCG Paper 2022-146, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2022, Analytical comparison of uncertainty quantification in 2D and 3D geostatistical modeling workflows, CCG Paper 2022-147, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2022, Numerical comparison of uncertainty quantification in 2D and 3D geostatistical modeling workflows, CCG Paper 2022-148, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2022, Optimization of sample pairing to maximize the correlation between wells drillholes, CCG Paper 2022-149, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2022, Information entropy as a measure of uncertainty quantification and visualization, CCG Paper 2022-150, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2022, Review of Stratigraphic Coordinate Transformation, CCG Paper 2022-151, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang, Thiago Alduini Mizuno and Clayton V. Deutsch, 2022, Short Note of SeismicDerived Facies Proportions, CCG Paper 2022-152, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2022, Update to the facies proportion uncertainty, CCG Paper 2022-153, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Thiago Alduini Mizuno and Clayton V. Deutsch, 2022, Review of the methods for combining trends applied to facies simulation, CCG Paper 2022-154, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Thiago Alduini Mizuno and Clayton V. Deutsch, 2022, Evaluation of the accuracy and precision of trend combination methods, CCG Paper 2022-155, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, 2022, Performance Analysis of Hamiltonian Fast Marching Kriging, CCG Paper 2022-156, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, Jeff Boisvert, 2022, Locally Varying Anisotropy Kriging and Sequential Gaussian Simulation with Hamiltonian Fast Marching, CCG Paper 2022-157, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla da Silva, Jed Nisenson and Jeff Boisvert, 2022, Machine learning modeling in nonstationary geological databases, CCG Paper 2022-158, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla Zacche DaSilva, Gamze Erdogan Erten, Jeff Boisvert, 2022, Summary of imputation, CCG Paper 2022-159, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Harold G. Velasquez and Clayton V. Deutsch, 2022, An Example of Truncation Tree Optimization in the Mesaba Deposit, CCG Paper 2022-160, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paulo M. Dias, Clayton V. Deutsch, 2022, Decision of Stationarity, CCG Paper 2022-161, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Yuanyuan Xia, 2022, A Workflow for Multiple Passes Estimation with CCG Programs and Pygeostat, CCG Paper 2022-162, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada

CCG Annual Report 23 – 2021

  • Zahra Hadavand, Clayton V. Deutsch, 2021, Machine Learning for Uncertainty Prediction, CCG Paper 2021-101, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Zahra Hadavand, Clayton V. Deutsch, 2021, Machine Learning Assisted Probability Field Simulation, CCG Paper 2021-102, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2021, Convolution Neural Network and its implementation in geostatistics, CCG Paper 2021-103, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2021, Automatic variogram inference using Convolutional Neural Networks (CNN), CCG Paper 2021-104, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mokdad, Karim; Koushavand, Behrang; Boisvert, Jeff B., 2021, Practical Implementation of Automatic Variogram Inference Using Convolutional Neural Networks (CNN), CCG Paper 2021-105, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla da Silva, Jed Nisenson and Jeff Boisvert, 2021, Automatic data-shift detection for geological datasets, CCG Paper 2021-106, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla da Silva, Jed Nisenson and Jeff Boisvert, 2021, Locally weighted machine learning applied to mid-term modeling, CCG Paper 2021-107, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla da Silva, Ryan Martin and Jeff Boisvert, 2021, Predicting Cumulative Oil Production from Public Well Records with machine learning, CCG Paper 2021-108, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Haoze Zhang and Clayton V. Deutsch, 2021, A brief description of ensemble clustering and its advantages on geostatistical data, CCG Paper 2021-109, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Haoze Zhang and Clayton V. Deutsch, 2021, A new method of multivariate labels classification reaching an optimal choice between spatial and multivariate continuity, CCG Paper 2021-110, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Haoze Zhang and Clayton V. Deutsch, 2021, Effects of the spatial continuity of data labels on multivariate modeling results, CCG Paper 2021-111, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fabio P.L Pereira, Clayton V. Deutsch, 2021, Conditioning the PLMR, CCG Paper 2021-112, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fabio P.L Pereira, Clayton V. Deutsch, 2021, Inference of PLMR Parameters, CCG Paper 2021-113, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fabio P.L Pereira, Clayton V. Deutsch, 2021, The PLMR Workflow, CCG Paper 2021-114, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fabio P.L Pereira, Clayton V. Deutsch, 2021, Short Note: The PLMR as a tool for generating nonGaussian reference realizations, CCG Paper 2021-115, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2021, Risk Management of Well Placement Optimization in the Presence of Geological Uncertainty, CCG Paper 2021-116, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2021, Decision Making in Production Strategy Selection based on MLU Model, CCG Paper 2021-117, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2021, Assessing the Value of Geophysical Information in Different Risk Positions, CCG Paper 2021-118, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, 2021, A Short Note on Bayesian Inference with Markov Chain Monte Carlo Methods, CCG Paper 2021-119, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, Jeff Boisvert, 2021, Inverse Distance Weighting with Shortest Path Distances from Hamiltonian Fast Marching, CCG Paper 2021-120, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, Mauricio Sacchi, Jeff Boisvert, 2021, Deterministic Inversion with NonEuclidean Based Spatial Covariance, CCG Paper 2021-121, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Chuks A. Sunday and Clayton V. Deutsch, 2021, Multivariate Exploratory Data Analysis of the Hekla Reservoir, CCG Paper 2021-122, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Chuks A. Sunday and Clayton V. Deutsch, 2021, A Multivariate Approach to Categorical Variable Modeling with HTPG: Hekla Reservoir Case Study, CCG Paper 2021-123, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Chuks A. Sunday and Clayton V. Deutsch, 2021, Multivariate Property Modeling for Reservoir Modeling with PPMT: Hekla Case Study, CCG Paper 2021-124, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2021, Comparing Uncertainty Quantification Between 2D and 3D Geostatistical Modeling Workflows, CCG Paper 2021-125, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2021, Optimizing Sample Pairing to Maximize Correlation Between Wells/Drillholes When Calculating Variograms, CCG Paper 2021-126, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Harold G. Velasquez and Clayton V. Deutsch, 2021, Short Note on the Comparison of Ordinary and MultiGaussian Kriging for Surface Mapping, CCG Paper 2021-127, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Harold G. Velasquez and Clayton V. Deutsch, 2021, The Number and Structure of Truncation Trees in Hierarchical Truncated PluriGaussian, CCG Paper 2021-128, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Harold G. Velasquez and Clayton V. Deutsch, 2021, Short Note on a Prospective Variational Principle with Divergence under Bounded Rationality Theory, CCG Paper 2021-129, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matt Batty and Jeff Boisvert, 2021, Boundary Uncertainty of the Arrow Deposit, CCG Paper 2021-130, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matt Batty and Jeff Boisvert, 2021, Uncertainty Review of the Arrow Deposit, CCG Paper 2021-131, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fernando A. Camana & Clayton V. Deutsch, 2021, Variable bias on drilling datasets and its influence on estimation models, CCG Paper 2021-132, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fernando A. Camana & Clayton V. Deutsch, 2021, Long and middle-term models in the ore type prediction for open-pit operations, CCG Paper 2021-133, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2021, Reformatting the Output of Precedence Program, CCG Paper 2021-134, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2021, Joint Simulation of a Laterite-Type Bauxite Deposit Using a Chained Transformation, CCG Paper 2021-135, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2021, Drillhole Spacing Optimization in a Laterite-type Bauxite Deposit, CCG Paper 2021-136, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jing Bai and Clayton V. Deutsch, 2021, Multiple Imputation of Single-Layered Tabular Deposit Geometry Data, CCG Paper 2021-137, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jing Bai and Clayton V. Deutsch, 2021, Multiple Imputation of Multi-Layered Tabular Deposit Geometry Data, CCG Paper 2021-138, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jing Bai and Clayton V. Deutsch, 2021, Parameters Influence Imputation and Other Developments, CCG Paper 2021-139, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2021, Localization of Probabilistic Models for Resource Estimation, CCG Paper 2021-140, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2021, Influence of the string effect on kriging performance in a finite domain, CCG Paper 2021-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Norris Amihere and Clayton V. Deutsch, 2021, Review of Compositing Practices based on disclosed Resources (NI 43-101), CCG Paper 2021-142, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Zahra Hadavand and Clayton Deutsch, 2021, Discussion on the weights in Intrinsic Collocated Cokriging: CCG short note, CCG Paper 2021-143, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Zahra Hadavand and Clayton Deutsch, 2021, Probabilistic prediction with machine learning and a compositional approach to probabilities, CCG Paper 2021-144, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent and Clayton Deutsch, 2021, Consistency of the Indicator Probabilities, CCG Paper 2021-145, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent and Clayton Deutsch, 2021, MIK vs MG in Non-Gaussian Environments, CCG Paper 2021-146, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent and Clayton Deutsch, 2021, Multiple Indicator Kriging Class Means – Part 2, CCG Paper 2021-147, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2021, A Review of Extreme Value Statistics with Applications to Spatial Problems, CCG Paper 2021-148, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2021, Outlier Management Practices in the Mining Industry: 2019-2021, CCG Paper 2021-149, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding, 2021, A Python Class for Outlier Analysis and Visualization, CCG Paper 2021-150, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2021, On the use of Declustering Weights in Trend Modeling: A Case Study, CCG Paper 2021-151, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Yuanyuan Xia, 2021, A Summary on Multiple Pass Searches in Resource Estimation, CCG Paper 2021-152, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Amir Mahdi Latifi, Jeff Boisvert, 2021, Review of Stratigraphic Coordinate Transformation Workflows, CCG Paper 2021-153, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada

CCG Annual Report 22 – 2020

  • Matthew Samson and Clayton V. Deutsch, 2020, Elliptical Radial Basis Function Neural Network, CCG Paper 2020-101, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Clayton V. Deutsch, 2020, JA Extension Copper Porphyry Deposit Case Study, CCG Paper 2020-102, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Clayton V. Deutsch, 2020, Multivariate Kriging, CCG Paper 2020-103, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Mahmut Yavuz, Clayton V. Deutsch, 2020, Estimation with a Combined Machine Learning and Kriging Spatial Estimation, CCG Paper 2020-104, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Clayton V. Deutsch, Mahmut Yavuz, 2020, Managing Estimation Artifacts in Machine Learning Spatial Estimation, CCG Paper 2020-105, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Gamze Erdogan Erten, Clayton V. Deutsch, Mahmut Yavuz, 2020, Case Studies in Combined Machine Learning and Kriging Spatial Estimation, CCG Paper 2020-106, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla Z. da Silva and Jeff Boisvert, 2020, Locally weighted support vector regression for spatial predictions, CCG Paper 2020-107, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla Z. da Silva and Jeff Boisvert, 2020, Locally weighted support vector regression: a case study, CCG Paper 2020-108, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla Zacche da Silva, Jed Nisenson, Jeff Boisvert, 2020, Grade control with Ensembled ML: A comparative case study at the Carmen de Andacollo copper mine, CCG Paper 2020-109, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Steve Mancell and Clayton Deutsch, 2020, Multiple Categorical Application of Indicator interpolated thresholding for implicit modeling with uncertainty, CCG Paper 2020-110, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2020, Decorrelating Spatially Correlated Attributes through Linear and MultiGaussian Transformation Approaches, CCG Paper 2020-111, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2020, Merging Probability Distributions from Various Types of Geoscience Information, CCG Paper 2020-112, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Oktay Erten and Clayton V. Deutsch, 2020, Simulation of Decorrelated Multivariate Data in Presence of Auxiliary Information, CCG Paper 2020-113, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Clayton V. Deutsch, 2020, Approximate Physics for Discrete Simulation for Steam Chamber Evolution in Steam Assisted Gravity Draining Updates, CCG Paper 2020-114, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Haoze Zhang and Clayton V. Deutsch, 2020, Assessing the Extent and Nature of Missing Values in Multivariate Data, CCG Paper 2020-115, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Haoze Zhang and Clayton V. Deutsch, 2020, Assessing Detection Limit Values in Multivariate Data, CCG Paper 2020-116, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Haoze Zhang and Clayton V. Deutsch, 2020, Multivariate Data Transformation for Cluster Analysis, CCG Paper 2020-117, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fernando A. Camana and Clayton V. Deutsch, 2020, Simulating Multiple Types of Drill Hole Data from Millimeter Scale Models, CCG Paper 2020-118, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fernando A. Camana and Clayton V. Deutsch, 2020, Influence of Drilling and Sampling process on the drilling data geostatistical Properties, CCG Paper 2020-119, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fernando A. Camana and Clayton V. Deutsch, 2020, Cokriging of Multiple Types of Drill Hole Data, CCG Paper 2020-120, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fernando A. Camana and Clayton V. Deutsch, 2020, A Multiple Data Type Data Set for Model Validation, CCG Paper 2020-121, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto and Clayton Deutsch, 2020, PostPPMT for Local Multivariate Uncertainty and Rules Assessment, CCG Paper 2020-122, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto and Clayton Deutsch, 2020, Independent Factor Simulation for Multivariate Modeling, CCG Paper 2020-123, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fábio Pereira and Clayton V. Deutsch, 2020, Multivariate Matérn Model, CCG Paper 2020-124, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fábio Pereira and Clayton V. Deutsch, 2020, A new Non-Gaussian Simulation Framework: the PLMR, CCG Paper 2020-125, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fábio Pereira and Clayton V. Deutsch, 2020, The bivariate and multivariate property of the PLMR, CCG Paper 2020-126, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Chuks A. Sunday and Clayton V. Deutsch, 2020, Multivariate Geostatistical Analysis for Response Surface Methodology: Horn River Shale as Case Study, CCG Paper 2020-127, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Haoze Zhang and Clayton V. Deutsch, 2020, Examples of Multivariate Exploratory Data Analysis (MEDA), CCG Paper 2020-128, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mostafa Hadavand, 2020, pip Install Pygeostat, CCG Paper 2020-129, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto & Clayton V. Deutsch, 2020, Comparison of Alternative Gaussian Simulation Algorithms, CCG Paper 2020-130, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Clayton V. Deutsch, 2020, Implementation of Geostatistical Algorithms, CCG Paper 2020-131, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Felipe Cabral Pinto, 2020, Some Tips on using OpenMP in CCG Fortran Programs, CCG Paper 2020-132, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Funan Wang and Jeff Boisvert, 2020, Functional kriging for spatial prediction, CCG Paper 2020-133, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Funan Wang and Jeff Boisvert, 2020, Case Study for Functional Kriging in Petroleum Production, CCG Paper 2020-134, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, 2020, Bayesian Evidential Learning As An Alternative To Spatial Inverse Problems, CCG Paper 2020-135, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, Mauricio Sacchi, Jeff Boisvert, 2020, Locally Varying Anisotropy Based Linearized Post Stack Inversion, CCG Paper 2020-136, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Anton Bogrash, 2020, Geostatistical Reservoir modelling Methods Within Geophysical Inverse Problem Frameworks, CCG Paper 2020-137, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent, 2020, Consistency of Multiple Indicator Kriging Calculated Probabilities in a Multivariate Gaussian Setting, CCG Paper 2020-138, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent and Clayton V. Deutsch, 2020, Consistency of Multiple Indicator Kriging Calculated Probabilities in a Multivariate Gaussian Setting, CCG Paper 2020-139, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent, 2020, Developments in Multiple Indicator Kriging, CCG Paper 2020-140, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Steve Mancell and Clayton V. Deutsch, 2020, Indicator Interpolation and Probability Thresholding for Implicit Modeling, CCG Paper 2020-141, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Steve Mancell and Clayton V. Deutsch, 2020, Inference of Probability Threshold Curves for Implicit Modeling with Uncertainty, CCG Paper 2020-142, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Steve Mancell and Clayton V. Deutsch, 2020, Application of Probability Threshold Curves for Implicit Modeling with Uncertainty, CCG Paper 2020-143, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matt Batty and Jeff Boisvert, 2020, Imputation of Density Values and the Uncertainty in Grade and Density at the Arrow Deposit, CCG Paper 2020-144, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matt Batty and Jeff Boisvert, 2020, Multivariate Spatial Bootstrap of the Arrow Deposit, CCG Paper 2020-145, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matt Batty and Jeff Boisvert, 2020, Geometry Imputation of the Arrow Deposit, CCG Paper 2020-146, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mostafa Hadavand and Clayton V. Deutsch, 2020, Spatial Multivariate Data Imputation Using Generalized Lambda Distribution, CCG Paper 2020-147, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mostafa Hadavand and Clayton V. Deutsch, 2020, How Many Gaussian Components for Fitting GMM, CCG Paper 2020-148, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Brandon Wilson and Jeff Boisvert, 2020, Updates and Implementation Recommendations for Stochastic Stope Layout Optimization, CCG Paper 2020-149, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Brandon Wilson and Jeff Boisvert, 2020, Stochastic Stope Layout Optimization Case Study, CCG Paper 2020-150, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jing Bai and Clayton V. Deutsch, 2020, Multiple Imputation of Tabular Vein Deposit Geometry Data Using Error Ellipses, CCG Paper 2020-151, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jing Bai and Clayton V. Deutsch, 2020, Multiple Imputation of Tabular Vein Deposit Geometry Data Using Bayesian Updating, CCG Paper 2020-152, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2020, Value of Information Principles in Mining Geostatistics, CCG Paper 2020-153, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2020, Implementation of Simulation-Based Value of Information Methodology, CCG Paper 2020-154, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2020, Managing Uncertain Value in Optimizing Data Spacing, CCG Paper 2020-155, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding, 2020, A Spatial Data Elimination Algorithm, CCG Paper 2020-156, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2020, An Example of Value of Information in Underground Mining, CCG Paper 2020-157, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2020, A Framework for Integration of Loss Function and Utility Function, CCG Paper 2020-158, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2020, Risk Management and Decision Making in the Presence of Geological Uncertainty, CCG Paper 2020-159, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2020, Risk Management in the Design of Drainage Area and Surface Pad, CCG Paper 2020-160, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Clayton V. Deutsch, 2020, Multivariate Ordinary Kriging, CCG Paper 2020-161, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fábio Pereira and Clayton V. Deutsch, 2020, A comparison between different methods to sample a Multivariate Gaussian Distribution, CCG Paper 2020-162, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jing Bai and Clayton V. Deutsch, 2020, Developments in Modeling Tabular Deposits, CCG Paper 2020-163, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Chuks A. Sunday and Clayton V. Deutsch, 2020, Multivariate Analysis for Response Surface Methodology: A Parametric Regression Approach, CCG Paper 2020-164, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada

CCG Annual Report 21 – 2019

  • John G. Manchuk and Clayton V. Deutsch, 2019, Covariance Fitting with Tensorflow, CCG Paper 2019-101, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto & Clayton Deutsch, 2019, Decomposition of Data to Underlying Factors and Simulation, CCG Paper 2019-102, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ryan Martin and Jeff Boisvert, 2019, Validation of Spatial Clusters as Stationary Domains, CCG Paper 2019-103, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Clayton V. Deutsch and John G. Manchuk, 2019, Recommendations for Managing Geological Risk in Mining Decision Making, CCG Paper 2019-104, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2019, Numerical and Analytical Approaches to the Value of Information in Resource Management, CCG Paper 2019-105, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Yimin Connor Wang and Jeff B. Boisvert, 2019, Estimation of grade using information from multiple sets of categorical Data, CCG Paper 2019-106, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Yimin Connor Wang and Jeff B. Boisvert, 2019, Statistics and their properties to consider when joint modeling categorical and continuous variables, CCG Paper 2019-107, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Yimin Connor Wang and Jeff B. Boisvert, 2019, A comparison of workflows to jointly model categorical and continuous variables, CCG Paper 2019-108, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Clayton V. Deutsch, 2019, Kringing and Model Checking Using Kfold Validation, CCG Paper 2019-109, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Clayton V. Deutsch, 2019, Elliptical Radial Basis Function Network Versus Radial Basis Function, CCG Paper 2019-110, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Matthew Samson and Clayton V. Deutsch, 2019, Walker Lake Dataset Case Study, CCG Paper 2019-111, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent and Clayton Deutsch, 2019, Multiple Indicator Kriging A Review of Good Practice, CCG Paper 2019-112, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent and Clayton Deutsch, 2019, Multiple Indicator Kriging Future Developments, CCG Paper 2019-113, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang, Yupeng Li and Clayton V. Deutsch, 2019, Covariance range for global sensitivity analysis , CCG Paper 2019-114, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Liam Dicke & Jeff Boisvert, 2019, Exploratory Analysis of Quantum Computers for Geostatistics , CCG Paper 2019-115, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Chuks A. Sunday and Clayton V. Deutsch, 2019, Appropriate Discretization Level for Blocks, CCG Paper 2019-116, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Jeremy Vincent and Clayton Deutsch, 2019, Review of the spatial bootstrap for histogram uncertainty, CCG Paper 2019-117, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paolo Kumara and Clayton V. Deutsch, 2019, Random Forest Imputation, CCG Paper 2019-118, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Steve Mancell and Clayton Deutsch, 2019, The problem with the signed distance functions, CCG Paper 2019-119, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Victor M. Silva, Joao Felipe C.L. Costa and Clayton V. Deutsch, 2019, A Short Note On The Relationship Between Relative Original Units Error And Absolute Normal Score Error, CCG Paper 2019-120, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Victor Miguel Silva, Joao Felipe Costa and Clayton V. Deutsch, 2019, Geostatistics in the presence of sampling error: Simulating the underlying error-free true process from observations with error, CCG Paper 2019-121, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Victor Miguel Silva, Joao Felipe Costa and Clayton V. Deutsch, 2019, Geostatistical parameter inference using multivariate data with sources of errors partially shared between variables, CCG Paper 2019-122, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto & Clayton Deutsch, 2019, Case study on the simulation of factors with exploration data, CCG Paper 2019-123, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Steve Mancell and Clayton Deutsch, 2019, Nearest neighbour calibration for implicit boundary modeling, CCG Paper 2019-124, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Camilla Z. da Silva and Joao Felipe C. L. Costa, 2019, Missing not at random geological data, CCG Paper 2019-125, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Mostafa Hadavand & Clayton V. Deutsch, 2019, Multivariate Data Imputation Using Generalized Lambda Distribution and Multi Layer Perceptron Neural Networks, CCG Paper 2019-126, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Steve Mancell and Clayton Deutsch, 2019, Boundary uncertainty and probability-threshold functions, CCG Paper 2019-127, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ryan M. Barnett and Clayton V. Deutsch, 2019, Practical Notes on the Use of Imputation, CCG Paper 2019-128, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto & Clayton V. Deutsch, 2019, Directions in grid free modeling, CCG Paper 2019-201, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2019, Review of aggregating variables into a super secondary variable, CCG Paper 2019-202, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Di Yang and Clayton V. Deutsch, 2019, Relationship between quadratic loss function and utility function, CCG Paper 2019-203, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • John G. Manchuk, Jean S. Birks, Cynthia N. McClain, Guy Bayegnak, John J. Gibson, Clayton V. Deutsch, 2019, Estimating Stable Measured Values and Detecting Anomalies in Groundwater Geochemistry Time Series Data, CCG Paper 2019-204, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • John G. Manchuk, Jianan Qu, and Clayton V. Deutsch, 2019, Simulation of Decorrelated Factors in Presence of Secondary Data, CCG Paper 2019-205, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Bo Zhang, Rick Chalaturnyk and Jeff Boisvert, 2019, Geostatistical characterization of the geomechanical response of heterogeneous oil sands, CCG Paper 2019-206, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Bo Zhang, Rick Chalaturnyk and Jeff Boisvert, 2019, Elastic and Plastic Deformation Response on the Changes of Permeability, CCG Paper 2019-207, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Bo Zhang, Rick Chalaturnyk and Jeff Boisvert, 2019, Upscaling of Plastic Geomechanical Properties for Heterogeneous Continua, CCG Paper 2019-208, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Yaroslav V. Vasylchuk and Clayton V. Deutsch, 2019, Intelligent Grade Control: Summary of Methodology, CCG Paper 2019-301, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Yaroslav V. Vasylchuk and Clayton V. Deutsch, 2019, Intelligent Grade Control: Case Study, CCG Paper 2019-302, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Wilson & J. Boisvert, 2019, Algorithm for Stochastic Stope optimization, CCG Paper 2019-303, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Wilson & J. Boisvert, 2019, Implementation of Stochastic Stope Optimization: a Case Study, CCG Paper 2019-304, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Wilson & J. Boisvert, 2019, Analysis of Parameters for Stochastic Stope Optimization, CCG Paper 2019-305, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2019, An Example of the Value of Information in Underground Mining, CCG Paper 2019-306, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ben Harding and Clayton V. Deutsch, 2019, The Principals of the Value of Information ? A Synthetic Example, CCG Paper 2019-307, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paolo Kumara and Clayton V. Deutsch, 2019, Imputation Performance Using Correlated Variable Variogram, CCG Paper 2019-308, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Fernando A. Camana & Clayton V. Deutsch, 2019, Optimal estimation grid size to improve profits in ore control models, CCG Paper 2019-309, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Paolo Kumara and Clayton V. Deutsch, 2019, Random Forest Imputation on Geometallurgy Variables, CCG Paper 2019-310, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto, Carlos F. Prades, Hendrik Falck, and Clayton V. Deutsch, 2019, Clustering Based Anomaly Detection for Exploration Geochemistry, CCG Paper 2019-311, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Liam Dicke & Jeff Boisvert, 2019, Stope Optimization through Quantum Annealing, CCG Paper 2019-312, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ryan M. Barnett and Clayton V. Deutsch, 2019, Exploring Data with Recurrence Plots and Self Similarity Matrices, CCG Paper 2019-401, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Liam Dicke & Jeff Boisvert, 2019, Spatial Clustering GUI for Outlier Detection, CCG Paper 2019-402, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Ryan Martin, 2019, An Update on Pygeostat, CCG Paper 2019-403, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  • Felipe Cabral Pinto & Clayton Deutsch, 2019, Factor extraction and other software tools, CCG Paper 2019-404, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada

CCG Annual Report 20 – 2018

CCG Annual Report 19 – 2017

CCG Annual Report 18 – 2016

CCG Annual Report 17 – 2015

CCG Annual Report 16 – 2014

CCG Annual Report 15 – 2013

 

CCG Annual Report 14 – 2012

CCG Annual Report 13 – 2011

CCG Annual Report 12 – 2010

CCG Annual Report 11 – 2009

CCG Annual Report 10 – 2008

CCG Annual Report 09 – 2007

CCG Annual Report 08 – 2006

CCG Annual Report 07 – 2005

CCG Annual Report 06 – 2004

CCG Annual Report 05 – 2003

CCG Annual Report 04 – 2002

CCG Annual Report 03 – 2001

CCG Annual Report 02 – 2000

CCG Annual Report 01 – 1999

Previous tab Next tab