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|a 9783031198458
|q (electronic bk.)
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|a TA703-705.4
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|a Avalos Sotomayor, Sebastian Alejandro.
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|a Geostatistics Toronto 2021 :
|b Quantitative Geology and Geostatistics.
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|a 1st ed.
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|a Cham :
|b Springer International Publishing AG,
|c 2023.
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|c ©2023.
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|a 1 online resource (261 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Springer Proceedings in Earth and Environmental Sciences Series
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|a Intro -- Preface -- Acknowledgements -- Remembering Dr. Harry M. Parker (1946-2019) -- Contents -- Theory -- A Geostatistical Heterogeneity Metric for Spatial Feature Engineering -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Case Study -- 5 Conclusion -- References -- Iterative Gaussianisation for Multivariate Transformation -- 1 Introduction -- 2 Iterative Multivariate Gaussianisation -- 3 Nickel Laterite Case Study -- 3.1 Overview -- 3.2 Workflow -- 3.3 Multivariate Transformation and Simulation -- 3.4 Benchmarking -- 3.5 Artifacts -- 4 Conclusions -- References -- Comparing and Detecting Stationarity and Dataset Shift -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Simulation of Stationary Gaussian Random Fields with a Gneiting Spatio-Temporal Covariance -- 1 Introduction -- 2 Theoretical Results -- 3 A Discrete-in-Time and Continuous-in-Space Substitution Algorithm -- 4 A Fully Continuous Spectral Algorithm -- 5 Concluding Remarks -- References -- Spectral Simulation of Gaussian Vector Random Fields on the Sphere -- 1 Introduction -- 2 Mathematical Background -- 3 Simulation Algorithms -- 3.1 Random Mixture of Spherical Harmonics (RMSH) -- 3.2 Random Mixture of Legendre Waves (RMLW) -- 3.3 Discussion -- 4 Examples -- 5 Conclusions -- References -- Petroleum -- Geometric and Geostatistical Modeling of Point Bars -- 1 Introduction -- 2 An Overview of Point Bar Geometry -- 3 Modeling Approach -- 4 Channel and Point Bar Facies Identification -- 5 Channel Path Recreation -- 6 Channel Path Migration -- 7 Modeling the IHS Geometry -- 8 Grid Generation -- 9 Preservation of Point Bar Architecture and Its Internal Heterogeneity -- 10 Concluding Remarks -- References -- Application of Reinforcement Learning for Well Location Optimization -- 1 Introduction -- 2 Theory.
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|a 3 Well Location Problem -- 4 Case Studies -- 5 Discussion -- 6 Conclusion -- Appendix -- Neural Network Architecture for Different Case Studies -- Visualization of Convergence -- References -- Compression-Based Modelling Honouring Facies Connectivity in Diverse Geological Systems -- 1 Introduction -- 2 Connectivity in Facies Models and Natural Systems -- 3 Compression-Based Facies Modelling -- 4 Conclusions -- References -- Spatial Uncertainty in Pore Pressure Models at the Brazilian Continental Margin -- 1 Introduction -- 2 Theoretical Foundations and Definitions -- 3 Data Presentation and Interpretation -- 4 Conclusions -- 5 Benefits Promoted by This Work -- References -- The Suitability of Different Training Images for Producing Low Connectivity, High Net:Gross Pixel-Based MPS Models -- 1 Introduction -- 2 Pixel-Based MPS Modelling with Common Training Images -- 3 Pixel-Based Modelling with Low Connectivity -- 4 Summary -- References -- Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks -- 1 Introduction -- 2 MPS Algorithm in Classification Framework -- 3 Combination of Probabilities -- References -- Mining -- Artifacts in Localised Multivariate Uniform Conditioning: A Case Study -- 1 Introduction -- 2 Multivariate Uniform Conditioning and LMUC -- 3 Case Study Presentation and Results -- 3.1 Global and Local Scatterplots -- 3.2 Correlation Between Localised Attributes -- 4 Conclusions -- References -- Methodology for Defining the Optimal Drilling Grid in a Laterite Nickel Deposit Based on a Conditional Simulation -- 1 Introduction -- 2 Sequential Gaussian Simulation -- 3 Sequential Indicator Simulation -- 4 Optimisation of a Drilling Grid -- 5 Case Study -- 5.1 Methodology -- 5.2 Geostatistical Simulation with Original Database.
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|a 5.3 Geostatistical Simulation with a Virtual Drilling Grid Database -- 5.4 Geostatistical Simulation of 100 Realisations of Thickness, Nickel and Ore Type -- 6 Results and Discussion -- 7 Conclusions -- References -- LSTM-Based Deep Learning Method for Automated Detection of Geophysical Signatures in Mining -- 1 Introduction -- 2 Data Used -- 3 Methodology -- 3.1 Long Short-Term Memory (LSTM) -- 3.2 Training and Validation -- 4 Results and Discussion -- 5 Conclusion -- References -- Earth Science -- Spatio-Temporal Optimization of Groundwater Monitoring Network at Pickering Nuclear Generating Station -- Domains -- Applying Clustering Techniques and Geostatistics to the Definition of Domains for Modelling -- 1 Introduction -- 1.1 Machine Learning in Mining -- 1.2 Stationarity in the Context of Mineral Resource Modeling -- 1.3 Types of Clustering Algorithms and Background -- 1.4 Discussions on the Validation Process -- 1.5 Supervised Learning Applied to the Classification of New Samples -- 2 Methods and Workflow -- 2.1 Clustering Algorithms -- 2.2 Validation Methods -- 2.3 Automatic Classification of New Samples -- 2.4 Workflow -- 3 Case Study -- 3.1 Exploratory Data Analysis -- 3.2 Applying Cluster Analysis and Verifying the Results -- 3.3 Discussions on the Results of the Cluster Analysis -- 3.4 Supervised Learning Applied to the Automatic Classification of New Samples -- 4 Conclusions -- References -- Addressing Application Challenges with Large-Scale Geological Boundary Modelling -- 1 Introduction -- 2 Geology -- 3 Gaussian Processes -- 4 A Priori Data -- 5 Model Building -- 5.1 Spatial Rotations -- 5.2 Region Overlap -- 5.3 Mesh Resolution -- 5.4 Model Evaluation -- 6 Unassayed Production Holes -- 6.1 Results -- 7 Discussion and Conclusions -- References -- Appendix A Appendix: Short Abstracts -- Theory -- Petroleum -- Mining -- Earth Science.
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|a Domains -- Author Index.
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| 588 |
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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4 |
|a Electronic books.
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| 700 |
1 |
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|a Ortiz, Julian M.
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| 700 |
1 |
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|a Srivastava, R. Mohan.
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| 776 |
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|i Print version:
|a Avalos Sotomayor, Sebastian Alejandro
|t Geostatistics Toronto 2021
|d Cham : Springer International Publishing AG,c2023
|z 9783031198441
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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0 |
|a Springer Proceedings in Earth and Environmental Sciences Series
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=7207140
|z Click to View
|
