Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics
Latest Publications

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Published By Springer International Publishing

9783319468181, 9783319468198

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Machine Learning Methods for Sweet Spot Detection: A Case Study

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_38 ◽

2017 ◽

pp. 573-588 ◽

Cited By ~ 2

Author(s):

Vera Louise Hauge ◽

Gudmund Horn Hermansen

Keyword(s):

Machine Learning ◽

Sweet Spot ◽

Learning Methods ◽

Machine Learning Methods ◽

Spot Detection

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Can Measurement Errors Be Characterized from Replicates?

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_3 ◽

2017 ◽

pp. 45-57

Author(s):

Chantal de Fouquet

Keyword(s):

Measurement Errors

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A Gradient-Based Blocking Markov Chain Monte Carlo Method for Stochastic Inverse Modeling

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_53 ◽

2017 ◽

pp. 777-788

Author(s):

Jianlin Fu ◽

J. Jaime Gómez-Hernández ◽

Song Du

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Method ◽

Inverse Modeling ◽

Gradient Based

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Urban Dynamic Estimation Using Mobile Phone Logs and Locally Varying Anisotropy

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_66 ◽

2017 ◽

pp. 949-964 ◽

Cited By ~ 18

Author(s):

Oscar F. Peredo ◽

José A. García ◽

Ricardo Stuven ◽

Julián M. Ortiz

Keyword(s):

Mobile Phone ◽

Dynamic Estimation ◽

Urban Dynamic

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Pore Network Modeling from Multi-scale Imaging Using Multiple-Point Statistics

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_32 ◽

2017 ◽

pp. 475-485

Author(s):

T. Chugunova ◽

H. Berthet

Keyword(s):

Network Modeling ◽

Pore Network ◽

Multiple Point ◽

Pore Network Modeling ◽

Multiple Point Statistics ◽

Multi Scale

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Geostatistical Methods for Unconventional Reservoir Uncertainty Assessments

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_45 ◽

2017 ◽

pp. 671-683

Author(s):

Michael J. Pyrcz ◽

Peter Janele ◽

Doug Weaver ◽

Sebastien Strebelle

Keyword(s):

Unconventional Reservoir ◽

Geostatistical Methods

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From the Spatial Sampling of a Deposit to Mineral Resources Classification

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_22 ◽

2017 ◽

pp. 329-344

Author(s):

Jacques Rivoirard ◽

Didier Renard ◽

Felipe Celhay ◽

David Benado ◽

Celeste Queiroz ◽

...

Keyword(s):

Mineral Resources ◽

Spatial Sampling

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Geostatistics for Variable Geometry Veins

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_17 ◽

2017 ◽

pp. 259-270

Author(s):

Alfredo Marín Suárez

Keyword(s):

Variable Geometry

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Resource Model Dilution and Ore Loss: A Change of Support Approach

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_23 ◽

2017 ◽

pp. 345-355

Author(s):

Oscar Rondon

Keyword(s):

Change Of Support ◽

Resource Model

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Efficient Uncertainty Quantification and History Matching of Large-Scale Fields Through Model Reduction

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics ◽

10.1007/978-3-319-46819-8_35 ◽

2017 ◽

pp. 531-540 ◽

Cited By ~ 1

Author(s):

Jianlin Fu ◽

Xian-Huan Wen ◽

Song Du

Keyword(s):

Uncertainty Quantification ◽

Model Reduction ◽

History Matching ◽

Large Scale

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Geostatistics Valencia 2016 - Quantitative Geology and GeostatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Machine Learning Methods for Sweet Spot Detection: A Case Study

Can Measurement Errors Be Characterized from Replicates?

A Gradient-Based Blocking Markov Chain Monte Carlo Method for Stochastic Inverse Modeling

Urban Dynamic Estimation Using Mobile Phone Logs and Locally Varying Anisotropy

Pore Network Modeling from Multi-scale Imaging Using Multiple-Point Statistics

Geostatistical Methods for Unconventional Reservoir Uncertainty Assessments

From the Spatial Sampling of a Deposit to Mineral Resources Classification

Geostatistics for Variable Geometry Veins

Resource Model Dilution and Ore Loss: A Change of Support Approach

Efficient Uncertainty Quantification and History Matching of Large-Scale Fields Through Model Reduction

Geostatistics Valencia 2016 - Quantitative Geology and Geostatistics
Latest Publications