Geostatistics Toronto 2021 : : Quantitative Geology and Geostatistics.
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Superior document: | Springer Proceedings in Earth and Environmental Sciences Series |
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Place / Publishing House: | Cham : : Springer International Publishing AG,, 2023. ©2023. |
Year of Publication: | 2023 |
Edition: | 1st ed. |
Language: | English |
Series: | Springer Proceedings in Earth and Environmental Sciences Series
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Online Access: | |
Physical Description: | 1 online resource (261 pages) |
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100 | 1 | |a Avalos Sotomayor, Sebastian Alejandro. | |
245 | 1 | 0 | |a Geostatistics Toronto 2021 : |b Quantitative Geology and Geostatistics. |
250 | |a 1st ed. | ||
264 | 1 | |a Cham : |b Springer International Publishing AG, |c 2023. | |
264 | 4 | |c ©2023. | |
300 | |a 1 online resource (261 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Springer Proceedings in Earth and Environmental Sciences Series | |
505 | 0 | |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. | |
505 | 8 | |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. | |
505 | 8 | |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. | |
505 | 8 | |a Domains -- Author Index. | |
588 | |a Description based on publisher supplied metadata and other sources. | ||
590 | |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
655 | 4 | |a Electronic books. | |
700 | 1 | |a Ortiz, Julian M. | |
700 | 1 | |a Srivastava, R. Mohan. | |
776 | 0 | 8 | |i Print version: |a Avalos Sotomayor, Sebastian Alejandro |t Geostatistics Toronto 2021 |d Cham : Springer International Publishing AG,c2023 |z 9783031198441 |
797 | 2 | |a ProQuest (Firm) | |
830 | 0 | |a Springer Proceedings in Earth and Environmental Sciences Series | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7207140 |z Click to View |