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Nam H. Pham
Observed names:
N. H. Pham,
N. Pham,
N.H. Pham,
Nam Pham,
Pham, Nam
Observed institutions:
University of Alberta,
Norwegian University of Science and Technology,
Schlumberger (United States),
Saudi Aramco (Saudi Arabia),
Bureau of Economic Geology,
Saudi Aramco (United States),
The University of Texas at Austin
show all 7
ORCID:
0000-0002-3349-9026
Observed ORCID:
0000-0002-3349-9026
OpenAlex ID:
A5047852500
Building realistic structure models to train convolutional neural networks for seismic structural interpretation
2019
·
Xinming Wu
, Zhicheng Geng
, et al.
·
Geophysics
·
264
PDF
Automatic channel detection using deep learning
2019
·
Nam Pham
, Sergey Fomel
, et al.
·
Interpretation
·
127
Seismic data interpolation using deep learning with generative adversarial networks
2020
·
Harpreet Kaur
, Nam Pham
, et al.
·
Geophysical Prospecting
·
116
Missing well log prediction using convolutional long short-term memory network
2020
·
Nam Pham
, Xinming Wu
, et al.
·
Geophysics
·
105
Seismic data interpolation using CycleGAN
2019
·
Harpreet Kaur
, Nam Pham
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
91
Velocity and attenuation in partially saturated rocks: poroelastic numerical experiments
2003
·
Hans B. Helle
, Nam H. Pham
, et al.
·
Geophysical Prospecting
·
90
Seismic ground‐roll noise attenuation using deep learning
2020
·
Harpreet Kaur
, Sergey Fomel
, et al.
·
Geophysical Prospecting
·
85
SCALODEEP: A Highly Generalized Deep Learning Framework for Real‐Time Earthquake Detection
2021
·
Omar M. Saad
, Guangtan Huang
, et al.
·
Journal of Geophysical Research Solid Earth
·
83
Improving the resolution of migrated images by approximating the inverse Hessian using deep learning
2020
·
Harpreet Kaur
, Nam Pham
, et al.
·
Geophysics
·
78
High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism
2022
·
Liuqing Yang
, Shoudong Wang
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
57
Physics-constrained deep learning for ground roll attenuation
2021
·
Nam Pham
, Weichang Li
·
Geophysics
·
50
The Diavik Waste Rock Project: Measurement of the thermal regime of a waste-rock test pile in a permafrost environment
2013
·
Nam H. Pham
, David C. Sego
, et al.
·
Applied Geochemistry
·
35
A deep learning framework for seismic facies classification
2022
·
Harpreet Kaur
, Nam Pham
, et al.
·
Interpretation
·
28
Automatic channel detection using deep learning
2018
·
Nam Pham
, Sergey Fomel
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
28
Overcoming numerical dispersion of finite-difference wave extrapolation using deep learning
2019
·
Harpreet Kaur
, Sergey Fomel
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
24
Building realistic structure models to train convolutional neural networks for seismic structural interpretation
2019
·
Xinming Wu
, Zhicheng Geng
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
23
Influence of freeze–thaw dynamics on internal geochemical evolution of low sulfide waste rock
2015
·
Sean A. Sinclair
, Nam Pham
, et al.
·
Applied Geochemistry
·
23
A Fast Algorithm for Elastic Wave‐Mode Separation Using Deep Learning With Generative Adversarial Networks (GANs)
2021
·
Harpreet Kaur
, Sergey Fomel
, et al.
·
Journal of Geophysical Research Solid Earth
·
22
Uncertainty estimation using Bayesian convolutional neural network for automatic channel detection
2020
·
Nam Pham
, Sergey Fomel
·
Second International Meeting for Applied Geoscience & Energy
·
17
Missing Well Log Prediction Using Deep Recurrent Neural Networks
2019
·
N. Pham
, E. Zabihi Naeini
·
EAGE Annual Conference & Exhibition
·
17
Uncertainty and interpretability analysis of encoder-decoder architecture for channel detection
2021
·
Nam Pham
, Sergey Fomel
·
Geophysics
·
15
Seismic data augmentation for automatic fault picking using deep learning
2022
·
Nam Pham
, Sergey Fomel
·
Geophysical Prospecting
·
14
Elastic wave-mode separation in heterogeneous anisotropic media using deep learning
2019
·
Harpreet Kaur
, Sergey Fomel
, et al.
·
Expanded abstracts with biographies/SEG technical program expanded abstracts
·
14
Separating primaries and multiples using hyperbolic Radon transform with deep learning
2020
·
Harpreet Kaur
, Nam Pham
, et al.
·
Second International Meeting for Applied Geoscience & Energy
·
13
Ground Roll Attenuation Using Generative Adversarial Network
2019
·
H. Kaur
, S. Fomel
, et al.
·
EAGE Annual Conference & Exhibition
·
13
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Works count:
48
Citation count:
1,510
H-index:
18
I10-index:
27
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