Следене
Tao Zhao
Tao Zhao
SLB
Потвърден имейл адрес: slb.com
Заглавие
Позовавания
Позовавания
Година
A comparison of classification techniques for seismic facies recognition
T Zhao, V Jayaram, A Roy, KJ Marfurt
Interpretation 3 (4), SAE29-SAE58, 2015
316*2015
Seismic facies classification using different deep convolutional neural networks
T Zhao
SEG International Exposition and Annual Meeting, SEG-2018-2997085, 2018
1732018
A fault detection workflow using deep learning and image processing
T Zhao, P Mukhopadhyay
SEG International Exposition and Annual Meeting, SEG-2018-2997005, 2018
1202018
Semisupervised multiattribute seismic facies analysis
J Qi, T Lin, T Zhao, F Li, K Marfurt
Interpretation 4 (1), SB91-SB106, 2016
109*2016
Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps
T Zhao, J Zhang, F Li, KJ Marfurt
Interpretation 4 (1), SB79-SB89, 2016
972016
Constraining self-organizing map facies analysis with stratigraphy: An approach to increase the credibility in automatic seismic facies classification
T Zhao, F Li, KJ Marfurt
Interpretation 5 (2), T163-T171, 2017
792017
Seismic attribute selection for unsupervised seismic facies analysis using user-guided data-adaptive weights
T Zhao, F Li, KJ Marfurt
Geophysics 83 (2), O31-O44, 2018
672018
Estimation of total organic carbon and brittleness volume
S Verma, T Zhao, KJ Marfurt, D Devegowda
Interpretation 4 (3), T373-T385, 2016
612016
Brittleness evaluation of resource plays by integrating petrophysical and seismic data analysis
B Zhang, T Zhao, X Jin, KJ Marfurt
Interpretation 3 (2), T81-T92, 2015
612015
Lithofacies classification in Barnett Shale using proximal support vector machines
T Zhao, V Jayaram, KJ Marfurt, H Zhou
SEG International Exposition and Annual Meeting, SEG-2014-1210, 2014
532014
Low-frequency data prediction with iterative learning for highly nonlinear inverse scattering problems
Z Lin, R Guo, M Li, A Abubakar, T Zhao, F Yang, S Xu
IEEE Transactions on Microwave Theory and Techniques 69 (10), 4366-4376, 2021
442021
Seismic attenuation attributes with applications on conventional and unconventional reservoirs
F Li, S Verma, H Zhou, T Zhao, KJ Marfurt
Interpretation 4 (1), SB63-SB77, 2016
38*2016
Multispectral coherence: Which decomposition should we use?
B Lyu, J Qi, F Li, Y Hu, T Zhao, S Verma, KJ Marfurt
Interpretation 8 (1), T115-T129, 2020
282020
3D convolutional neural networks for efficient fault detection and orientation estimation
T Zhao
SEG international exposition and annual meeting, D043S136R002, 2019
282019
TOC estimation in the Barnett Shale from triple combo logs using support vector machine
T Zhao*, S Verma, D Devegowda, V Jayaram
SEG Technical Program Expanded Abstracts 2015, 791-795, 2015
252015
Facies analysis by integrating 3D seismic attributes and well logs for prospect identification and evaluation—A case study from Northwest China
X Wang, B Zhang, T Zhao, J Hang, H Wu, Z Yong
Interpretation 5 (2), SE61-SE74, 2017
242017
Enrich the interpretation of seismic image segmentation by estimating epistemic uncertainty
T Zhao, X Chen
SEG Technical Program Expanded Abstracts 2020, 1444-1448, 2020
232020
Unsupervised contrastive learning for seismic facies characterization
J Li, X Wu, Y Ye, C Yang, Z Hu, X Sun, T Zhao
Geophysics 88 (1), WA81-WA89, 2023
222023
Horizon-based semiautomated nonhyperbolic velocity analysis
B Zhang, T Zhao, J Qi, KJ Marfurt
Geophysics 79 (6), U15-U23, 2014
202014
Unconventional reservoir characterization based on spectrally corrected seismic attenuation estimation
F Li, H Zhou, T Zhao, KJ Marfurt
Journal of Seismic Exploration 25 (5), 447-461, 2016
182016
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