國立高雄大學圖資館 |

登入

回首頁

Geostatistics Toronto 2021quantitative geology and geostatistics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Geostatistics Toronto 2021edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava.
其他題名:	quantitative geology and geostatistics /
其他作者:	Avalos Sotomayor, Sebastian Alejandro.
團體作者:
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xvii, 281 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	GeologyCongresses.Statistical methods
電子資源:	https://doi.org/10.1007/978-3-031-19845-8
ISBN:	9783031198458$q(electronic bk.)

Geostatistics Toronto 2021quantitative geology and geostatistics /
Geostatistics Toronto 2021quantitative geology and geostatistics /[electronic resource] :edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava. - Cham :Springer International Publishing :2023. - xvii, 281 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in earth and environmental sciences,2524-3438. - Springer proceedings in earth and environmental sciences..

A Geostatistical Heterogeneity Metric For Spatial Feature Engineering -- Iterative Gaussianisation For Multivariate Transformation -- Comparing And Detecting Stationarity And Dataset Shift -- Simulation Of Stationary Gaussian Random Fields With A Gneiting Spatio-Temporal Covariance -- Spectral Simulation Of Gaussian Vector Random Fields On The Sphere -- Geometric And Geostatistical Modeling Of Point Bars -- Application Of Reinforcement Learning For Well Location Optimization -- Compression-Based Modelling Honouring Facies Connectivity In Diverse Geological Systems -- Spatial Uncertainty In Pore Pressure Models At The Brazilian Continental Margin -- The Suitability Of Different Training Images For Producing Low Connectivity, High Net:Gross Pixel-Based Mps Models -- Probabilistic Integration Of Geomechanical And Geostatistical Inferences For Mapping Natural Fracture Networks.

Open access.

This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.

ISBN: 9783031198458$q(electronic bk.)

Standard No.: 10.1007/978-3-031-19845-8doiSubjects--Topical Terms:

444776
Geology
--Statistical methods--Congresses.

LC Class. No.: QE33.2.S82 / I57 2021

Dewey Class. No.: 551.0727

Geostatistics Toronto 2021quantitative geology and geostatistics /
LDR:02765nmm a2200349 a 4500 001 639899
003 DE-He213
005 20230223192256.0
006 m d
007 cr nn 008maaau
008 231025s2023 sz s 0 eng d
020 $a 9783031198458$q(electronic bk.)
020 $a 9783031198441$q(paper)
024 7 $a 10.1007/978-3-031-19845-8 $2 doi
035 $a 978-3-031-19845-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QE33.2.S82 $b I57 2021
072 7 $a RB $2 bicssc
072 7 $a SCI019000 $2 bisacsh
072 7 $a RB $2 thema
082 0 4 $a 551.0727 $2 23
090 $a QE33.2.S82 $b I61 2021
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Geostatistics Toronto 2021 $h [electronic resource] : $b quantitative geology and geostatistics / $c edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xvii, 281 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer proceedings in earth and environmental sciences, $x 2524-3438
505 0 $a A Geostatistical Heterogeneity Metric For Spatial Feature Engineering -- Iterative Gaussianisation For Multivariate Transformation -- Comparing And Detecting Stationarity And Dataset Shift -- Simulation Of Stationary Gaussian Random Fields With A Gneiting Spatio-Temporal Covariance -- Spectral Simulation Of Gaussian Vector Random Fields On The Sphere -- Geometric And Geostatistical Modeling Of Point Bars -- Application Of Reinforcement Learning For Well Location Optimization -- Compression-Based Modelling Honouring Facies Connectivity In Diverse Geological Systems -- Spatial Uncertainty In Pore Pressure Models At The Brazilian Continental Margin -- The Suitability Of Different Training Images For Producing Low Connectivity, High Net:Gross Pixel-Based Mps Models -- Probabilistic Integration Of Geomechanical And Geostatistical Inferences For Mapping Natural Fracture Networks.
506 $a Open access.
520 $a This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.
650 0 $a Geology $x Statistical methods $v Congresses. $3 444776
650 1 4 $a Geotechnical Engineering and Applied Earth Sciences. $3 913450
650 2 4 $a Applied Statistics. $3 805583
650 2 4 $a Geophysics. $3 197003
700 1 $a Avalos Sotomayor, Sebastian Alejandro. $3 946281
700 1 $a Ortiz, Julian M. $3 946282
700 1 $a Srivastava, R. Mohan. $3 191969
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer proceedings in earth and environmental sciences. $3 833636
856 4 0 $u https://doi.org/10.1007/978-3-031-19845-8
950 $a Earth and Environmental Science (SpringerNature-11646)