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SCIDIR_on1125154104 |
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OCoLC |
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20231120010418.0 |
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191028s2020 mau o 001 0 eng d |
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|a OPELS
|b eng
|e rda
|e pn
|c OPELS
|d DKU
|d OCLCF
|d OCLCQ
|d OCLCO
|d K6U
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|z 9780128177365
|q (print)
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|a (OCoLC)1125154104
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|a QC808.6
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|a 550.285631
|2 23
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|a Misra, Siddharth,
|e author.
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1 |
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|a Machine learning for subsurface characterization /
|c Siddharth Misra, Hao Li, Jiabo He.
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264 |
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1 |
|a Cambridge, MA :
|b Gulf Professional Publishing, an imprint of Elsevier,
|c [2020]
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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500 |
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|a Includes index.
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588 |
0 |
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|a Print version record.
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505 |
8 |
0 |
|g 1.
|t Unsupervised outlier detection techniques for well logs and geophysical data /
|r Siddharth Misra, Oghenekaro Osogba, and Mark Powers --
|g 2.
|t Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations /
|r Siddharth Misra, Aditya Chakravarty, Pritesh Bhoumick, and Chandra S. Rai --
|g 3.
|t Shallow neural networks and classification methods for approximating the subsurface in situ fluid-filled pore size distribution /
|r Siddharth Misra and Jiabo He --
|g 4.
|t Stacked neural network architecture to model the multifrequency conductivity/permittivity responses of subsurface shale formations /
|r Siddharth Misra and Jiabo He --
|g 5.
|t Robust geomechanical characterization by analyzing the performance of shallow-learning regression methods using unsupervised clustering methods /
|r Siddharth Misra, Hao Li, and Jiabo He --
|g 6.
|t 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 /
|r Hao Li and Siddharth Misra --
|g 7.
|t Deep neural network architectures to approximate the fluid-filled pore size distributions of subsurface geological formations /
|r Siddharth Misra and Hao Li --
|g 8.
|t Comparative study of shallow and deep machine learning models for synthesizing in situ NMR T2 distributions /
|r Siddharth Misra and Hao Li
|
505 |
8 |
0 |
|g 9.
|t Noninvasive fracture characterization based on the classification of sonic wave travel times /
|r Siddharth Misra and Hao Li --
|g 10.
|t Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking /
|r Siddharth Misra and Yaokun Wu --
|g 11.
|t Generalization of machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales /
|r Siddharth Misra, Eliza Ganguly, and Yaokun Wu --
|g 12.
|t Characterization of subsurface hydrocarbon/water saturation by processing subsurface electromagnetic logs using a modified Levenberg-Marquardt algorithm /
|r Siddharth Misra, Pratiksha Tathed, and Yifu Han --
|g 13.
|t Characterization of subsurface hydrocarbon/water saturation using Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic logs /
|r Siddharth Misra and Yifu Han.
|
650 |
|
0 |
|a Geophysics
|x Data processing.
|
650 |
|
0 |
|a Machine learning
|x Industrial applications.
|
650 |
|
0 |
|a Big data.
|
650 |
|
0 |
|a Petroleum engineering
|x Data processing.
|
650 |
|
6 |
|a G�eophysique
|x Informatique.
|0 (CaQQLa)201-0382101
|
650 |
|
6 |
|a Apprentissage automatique
|0 (CaQQLa)201-0131435
|x Applications industrielles.
|0 (CaQQLa)201-0374039
|
650 |
|
6 |
|a Donn�ees volumineuses.
|0 (CaQQLa)000284673
|
650 |
|
6 |
|a Technique du p�etrole
|0 (CaQQLa)201-0031336
|x Informatique.
|0 (CaQQLa)201-0380011
|
650 |
|
7 |
|a Big data
|2 fast
|0 (OCoLC)fst01892965
|
650 |
|
7 |
|a Geophysics
|x Data processing
|2 fast
|0 (OCoLC)fst00941009
|
650 |
|
7 |
|a Machine learning
|x Industrial applications
|2 fast
|0 (OCoLC)fst01004799
|
650 |
|
7 |
|a Petroleum engineering
|x Data processing
|2 fast
|0 (OCoLC)fst01059499
|
700 |
1 |
|
|a Li, Hao,
|e author.
|
700 |
1 |
|
|a He, Jiabo,
|e author.
|
776 |
0 |
8 |
|i Print version:
|a MISRA, SIDDHARTH. LI, HAO. HE, JIABO.
|t Machine learning for subsurface characterization.
|d [Place of publication not identified], GULF PROFESSIONAL, 2019
|z 0128177365
|w (OCoLC)1065734589
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128177365
|z Texto completo
|