Geostatistics Toronto 2021 : : Quantitative Geology and Geostatistics.
Saved in:
Superior document: | Springer Proceedings in Earth and Environmental Sciences Series |
---|---|
: | |
TeilnehmendeR: | |
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
|
Online Access: | |
Physical Description: | 1 online resource (261 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
5007207140 |
---|---|
ctrlnum |
(MiAaPQ)5007207140 (Au-PeEL)EBL7207140 (OCoLC)1371295030 |
collection |
bib_alma |
record_format |
marc |
spelling |
Avalos Sotomayor, Sebastian Alejandro. Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. 1st ed. Cham : Springer International Publishing AG, 2023. ©2023. 1 online resource (261 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Springer Proceedings in Earth and Environmental Sciences Series 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. 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. 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. Domains -- Author Index. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Ortiz, Julian M. Srivastava, R. Mohan. Print version: Avalos Sotomayor, Sebastian Alejandro Geostatistics Toronto 2021 Cham : Springer International Publishing AG,c2023 9783031198441 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7207140 Click to View |
language |
English |
format |
eBook |
author |
Avalos Sotomayor, Sebastian Alejandro. |
spellingShingle |
Avalos Sotomayor, Sebastian Alejandro. Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. Springer Proceedings in Earth and Environmental Sciences Series 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. 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. 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. Domains -- Author Index. |
author_facet |
Avalos Sotomayor, Sebastian Alejandro. Ortiz, Julian M. Srivastava, R. Mohan. |
author_variant |
s s a a ssa ssaa |
author2 |
Ortiz, Julian M. Srivastava, R. Mohan. |
author2_variant |
j m o jm jmo r m s rm rms |
author2_role |
TeilnehmendeR TeilnehmendeR |
author_sort |
Avalos Sotomayor, Sebastian Alejandro. |
title |
Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. |
title_sub |
Quantitative Geology and Geostatistics. |
title_full |
Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. |
title_fullStr |
Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. |
title_full_unstemmed |
Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. |
title_auth |
Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. |
title_new |
Geostatistics Toronto 2021 : |
title_sort |
geostatistics toronto 2021 : quantitative geology and geostatistics. |
series |
Springer Proceedings in Earth and Environmental Sciences Series |
series2 |
Springer Proceedings in Earth and Environmental Sciences Series |
publisher |
Springer International Publishing AG, |
publishDate |
2023 |
physical |
1 online resource (261 pages) |
edition |
1st ed. |
contents |
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. 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. 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. Domains -- Author Index. |
isbn |
9783031198458 9783031198441 |
callnumber-first |
T - Technology |
callnumber-subject |
TA - General and Civil Engineering |
callnumber-label |
TA703-705 |
callnumber-sort |
TA 3703 3705.4 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7207140 |
illustrated |
Not Illustrated |
oclc_num |
1371295030 |
work_keys_str_mv |
AT avalossotomayorsebastianalejandro geostatisticstoronto2021quantitativegeologyandgeostatistics AT ortizjulianm geostatisticstoronto2021quantitativegeologyandgeostatistics AT srivastavarmohan geostatisticstoronto2021quantitativegeologyandgeostatistics |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5007207140 (Au-PeEL)EBL7207140 (OCoLC)1371295030 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Springer Proceedings in Earth and Environmental Sciences Series |
is_hierarchy_title |
Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics. |
container_title |
Springer Proceedings in Earth and Environmental Sciences Series |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
marc_error |
Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ] |
_version_ |
1792331065771163649 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>07845nam a22004573i 4500</leader><controlfield tag="001">5007207140</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073848.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2023 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031198458</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9783031198441</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5007207140</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL7207140</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1371295030</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TA703-705.4</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Avalos Sotomayor, Sebastian Alejandro.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Geostatistics Toronto 2021 :</subfield><subfield code="b">Quantitative Geology and Geostatistics.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham :</subfield><subfield code="b">Springer International Publishing AG,</subfield><subfield code="c">2023.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (261 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Springer Proceedings in Earth and Environmental Sciences Series</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Domains -- Author Index.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="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. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ortiz, Julian M.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Srivastava, R. Mohan.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Avalos Sotomayor, Sebastian Alejandro</subfield><subfield code="t">Geostatistics Toronto 2021</subfield><subfield code="d">Cham : Springer International Publishing AG,c2023</subfield><subfield code="z">9783031198441</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Springer Proceedings in Earth and Environmental Sciences Series</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7207140</subfield><subfield code="z">Click to View</subfield></datafield></record></collection> |