Machine learning for subsurface characterization

1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumic...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Misra, Siddharth [verfasserIn] Li, Hao [verfasserIn] He, Jiabo [verfasserIn]

Format:	E-Book
Sprache:	Englisch

Erschienen:	Cambridge, MA: Gulf Professional Publishing, an imprint of Elsevier ; 2020

Schlagwörter:	Big data Petroleum engineering, Data processing Geophysics, Data processing Machine learning, Industrial applications Machine learning ; Industrial applications Petroleum engineering ; Data processing Geophysics ; Data processing

Anmerkung:	Includes index
Umfang:	1 Online-Ressource

Links:	Link aufrufen Link aufrufen

Katalog-ID:	1689040335

Internformat


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520			\|a 1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li
520			\|a 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han.
650		0	\|a Big data
650		0	\|a Petroleum engineering \|x Data processing
650		0	\|a Geophysics \|x Data processing
650		0	\|a Machine learning \|x Industrial applications
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650		4	\|a Petroleum engineering ; Data processing
650		4	\|a Big data
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Indexfelder

author_variant	s m sm h l hl j h jh
matchkey_str	book:9780128177365:2020----
oclc_num	(ELSEVIER)1125154104
hierarchy_sort_str	[2020]
callnumber-subject-code	QC
publishDate	2020
allfields	(DE-627)1689040335 (DE-599)KEP049058215 (ELSEVIER)on1125154104 (EBP)049058215 DE-627 eng DE-627 rda eng XD-US QC808.6 550.285631 Misra, Siddharth verfasserin aut Machine learning for subsurface characterization Siddharth Misra, Hao Li, Jiabo He Cambridge, MA Gulf Professional Publishing, an imprint of Elsevier [2020] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Big data Petroleum engineering Data processing Geophysics Data processing Machine learning Industrial applications Machine learning ; Industrial applications Petroleum engineering ; Data processing Big data Geophysics ; Data processing Li, Hao verfasserin aut He, Jiabo verfasserin aut 9780128177365 0128177365 Erscheint auch als Druck-Ausgabe MISRA, SIDDHARTH. LI, HAO. HE, JIABO Machine learning for subsurface characterization [Place of publication not identified], GULF PROFESSIONAL, 2019 0128177365 https://www.sciencedirect.com/science/book/9780128177365 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 550.285631 23 01 0830 3588020128 ACQ i z 05-02-20 105 01 0841 4074471728 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514751332 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540291769 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046030151 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 23 01 0830 Elsevier EBook https://www.sciencedirect.com/science/book/9780128177365 105 01 0841 https://www.sciencedirect.com/science/book/9780128177365 185 01 3519 https://www.sciencedirect.com/science/book/9780128177365 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128177365 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128177365 23 01 0830 2019-02034, 2019-02035, 2019-02036, 2019-02037, 2019-02038 23 01 0830 ACQ 23 01 0830 olr-else 23 01 0830 olr-else2 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
spelling	(DE-627)1689040335 (DE-599)KEP049058215 (ELSEVIER)on1125154104 (EBP)049058215 DE-627 eng DE-627 rda eng XD-US QC808.6 550.285631 Misra, Siddharth verfasserin aut Machine learning for subsurface characterization Siddharth Misra, Hao Li, Jiabo He Cambridge, MA Gulf Professional Publishing, an imprint of Elsevier [2020] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Big data Petroleum engineering Data processing Geophysics Data processing Machine learning Industrial applications Machine learning ; Industrial applications Petroleum engineering ; Data processing Big data Geophysics ; Data processing Li, Hao verfasserin aut He, Jiabo verfasserin aut 9780128177365 0128177365 Erscheint auch als Druck-Ausgabe MISRA, SIDDHARTH. LI, HAO. HE, JIABO Machine learning for subsurface characterization [Place of publication not identified], GULF PROFESSIONAL, 2019 0128177365 https://www.sciencedirect.com/science/book/9780128177365 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 550.285631 23 01 0830 3588020128 ACQ i z 05-02-20 105 01 0841 4074471728 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514751332 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540291769 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046030151 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 23 01 0830 Elsevier EBook https://www.sciencedirect.com/science/book/9780128177365 105 01 0841 https://www.sciencedirect.com/science/book/9780128177365 185 01 3519 https://www.sciencedirect.com/science/book/9780128177365 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128177365 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128177365 23 01 0830 2019-02034, 2019-02035, 2019-02036, 2019-02037, 2019-02038 23 01 0830 ACQ 23 01 0830 olr-else 23 01 0830 olr-else2 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
allfields_unstemmed	(DE-627)1689040335 (DE-599)KEP049058215 (ELSEVIER)on1125154104 (EBP)049058215 DE-627 eng DE-627 rda eng XD-US QC808.6 550.285631 Misra, Siddharth verfasserin aut Machine learning for subsurface characterization Siddharth Misra, Hao Li, Jiabo He Cambridge, MA Gulf Professional Publishing, an imprint of Elsevier [2020] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Big data Petroleum engineering Data processing Geophysics Data processing Machine learning Industrial applications Machine learning ; Industrial applications Petroleum engineering ; Data processing Big data Geophysics ; Data processing Li, Hao verfasserin aut He, Jiabo verfasserin aut 9780128177365 0128177365 Erscheint auch als Druck-Ausgabe MISRA, SIDDHARTH. LI, HAO. HE, JIABO Machine learning for subsurface characterization [Place of publication not identified], GULF PROFESSIONAL, 2019 0128177365 https://www.sciencedirect.com/science/book/9780128177365 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 550.285631 23 01 0830 3588020128 ACQ i z 05-02-20 105 01 0841 4074471728 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514751332 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540291769 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046030151 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 23 01 0830 Elsevier EBook https://www.sciencedirect.com/science/book/9780128177365 105 01 0841 https://www.sciencedirect.com/science/book/9780128177365 185 01 3519 https://www.sciencedirect.com/science/book/9780128177365 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128177365 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128177365 23 01 0830 2019-02034, 2019-02035, 2019-02036, 2019-02037, 2019-02038 23 01 0830 ACQ 23 01 0830 olr-else 23 01 0830 olr-else2 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
allfieldsGer	(DE-627)1689040335 (DE-599)KEP049058215 (ELSEVIER)on1125154104 (EBP)049058215 DE-627 eng DE-627 rda eng XD-US QC808.6 550.285631 Misra, Siddharth verfasserin aut Machine learning for subsurface characterization Siddharth Misra, Hao Li, Jiabo He Cambridge, MA Gulf Professional Publishing, an imprint of Elsevier [2020] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Big data Petroleum engineering Data processing Geophysics Data processing Machine learning Industrial applications Machine learning ; Industrial applications Petroleum engineering ; Data processing Big data Geophysics ; Data processing Li, Hao verfasserin aut He, Jiabo verfasserin aut 9780128177365 0128177365 Erscheint auch als Druck-Ausgabe MISRA, SIDDHARTH. LI, HAO. HE, JIABO Machine learning for subsurface characterization [Place of publication not identified], GULF PROFESSIONAL, 2019 0128177365 https://www.sciencedirect.com/science/book/9780128177365 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 550.285631 23 01 0830 3588020128 ACQ i z 05-02-20 105 01 0841 4074471728 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514751332 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540291769 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046030151 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 23 01 0830 Elsevier EBook https://www.sciencedirect.com/science/book/9780128177365 105 01 0841 https://www.sciencedirect.com/science/book/9780128177365 185 01 3519 https://www.sciencedirect.com/science/book/9780128177365 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128177365 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128177365 23 01 0830 2019-02034, 2019-02035, 2019-02036, 2019-02037, 2019-02038 23 01 0830 ACQ 23 01 0830 olr-else 23 01 0830 olr-else2 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
allfieldsSound	(DE-627)1689040335 (DE-599)KEP049058215 (ELSEVIER)on1125154104 (EBP)049058215 DE-627 eng DE-627 rda eng XD-US QC808.6 550.285631 Misra, Siddharth verfasserin aut Machine learning for subsurface characterization Siddharth Misra, Hao Li, Jiabo He Cambridge, MA Gulf Professional Publishing, an imprint of Elsevier [2020] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Big data Petroleum engineering Data processing Geophysics Data processing Machine learning Industrial applications Machine learning ; Industrial applications Petroleum engineering ; Data processing Big data Geophysics ; Data processing Li, Hao verfasserin aut He, Jiabo verfasserin aut 9780128177365 0128177365 Erscheint auch als Druck-Ausgabe MISRA, SIDDHARTH. LI, HAO. HE, JIABO Machine learning for subsurface characterization [Place of publication not identified], GULF PROFESSIONAL, 2019 0128177365 https://www.sciencedirect.com/science/book/9780128177365 X:ELSEVIER Verlag lizenzpflichtig GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGY 2019 ZDB-33-ESD GBV-33-Freedom 2023 GBV-33-EBS-HST GBV_ILN_23 ISIL_DE-830 SYSFLAG_1 GBV_KXP GBV_ILN_105 ISIL_DE-841 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2111 ISIL_DE-944 BO 045F 550.285631 23 01 0830 3588020128 ACQ i z 05-02-20 105 01 0841 4074471728 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 185 01 3519 4514751332 OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540291769 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2111 02 DE-944 4046030151 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 23 01 0830 Elsevier EBook https://www.sciencedirect.com/science/book/9780128177365 105 01 0841 https://www.sciencedirect.com/science/book/9780128177365 185 01 3519 https://www.sciencedirect.com/science/book/9780128177365 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128177365 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128177365 23 01 0830 2019-02034, 2019-02035, 2019-02036, 2019-02037, 2019-02038 23 01 0830 ACQ 23 01 0830 olr-else 23 01 0830 olr-else2 105 01 0841 OLR-ELV-TEST 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
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authorswithroles_txt_mv	Misra, Siddharth @@aut@@ Li, Hao @@aut@@ He, Jiabo @@aut@@
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topic_title	QC808.6 550.285631 Machine learning for subsurface characterization Siddharth Misra, Hao Li, Jiabo He Big data Petroleum engineering Data processing Geophysics Data processing Machine learning Industrial applications Machine learning ; Industrial applications Petroleum engineering ; Data processing Geophysics ; Data processing
publisher	Gulf Professional Publishing, an imprint of Elsevier
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title_full	Machine learning for subsurface characterization Siddharth Misra, Hao Li, Jiabo He
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title_sort	machine learning for subsurface characterization
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title_auth	Machine learning for subsurface characterization
abstract	1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Includes index
abstractGer	1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Includes index
abstract_unstemmed	1.Unsupervised outlier detection techniques for well logs and geophysical data /Siddharth Misra, Oghenekaro Osogba, and Mark Powers --2.Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --3.Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /Siddharth Misra and Jiabo He --4.Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /Siddharth Misra and Jiabo He --5.Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /Siddharth Misra, Hao Li, and Jiabo He --6.Index construction, dimensionality reduction, and clustering techniques for the identification of flow units in shale formations suitable for enhanced oil recovery using light-hydrocarbon injection /Hao Li and Siddharth Misra --7.Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /Siddharth Misra and Hao Li --8.Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /Siddharth Misra and Hao Li 9.Noninvasive fracture characterization based on the classification of sonic wave travel times /Siddharth Misra and Hao Li --10.Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /Siddharth Misra and Yaokun Wu --11.Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /Siddharth Misra, Eliza Ganguly, and Yaokun Wu --12.Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /Siddharth Misra, Pratiksha Tathed, and Yifu Han --13.Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /Siddharth Misra and Yifu Han. Includes index
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title_short	Machine learning for subsurface characterization
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