N. Pham

发表

Improving the resolution of migrated images by approximating the inverse Hessian using deep learning

Nam Pham, Sergey Fomel, Harpreet Kaur, 2020, GEOPHYSICS.

Estimating the inverse Hessian for amplitude correction of migrated images using deep learning

Nam Pham, Sergey Fomel, Harpreet Kaur, 2019, SEG Technical Program Expanded Abstracts 2019.

Building realistic structure models to train convolutional neural networks for seismic structural interpretation

S. Fomel, Xinming Wu, N. Pham, 2019, GEOPHYSICS.

Physics-constrained deep learning for ground-roll attenuation

N. Pham, Weichang Li, 2021, First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

Physics-constrained deep learning for ground roll attenuation

N. Pham, Weichang Li, 2021, GEOPHYSICS.

Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation

H. Kaur, N. Pham, Sergey Fomel, 2022, Second International Meeting for Applied Geoscience & Energy.

Uncertainty and interpretability analysis of encoder-decoder architecture for channel detection

Nam Pham, Sergey Fomel, N. Pham, 2021, GEOPHYSICS.

Uncertainty estimation using Bayesian convolutional neural network for automatic channel detection

Sergey Fomel, Nam Pham, N. Pham, 2020 .

Ground Roll Attenuation Using Generative Adversarial Network

Nam Pham, H. Kaur, S. Fomel, 2019, 81st EAGE Conference and Exhibition 2019.

Automatic channel detection using deep learning

Sergey Fomel, Nam Pham, Sergey Fomel, 2018, Interpretation.

Seismic data augmentation for automatic fault picking using deep learning

N. Pham, Sergey Fomel, 2022, Geophysical Prospecting.

A deep learning framework for seismic facies classification

H. Kaur, N. Pham, R. Abma, 2021, First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

Channel facies and faults multisegmentation in seismic volumes

N. Pham, D. Dunlap, Sergey Fomel, 2021, First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

Seismic data interpolation using deep learning with generative adversarial networks

Sergey Fomel, Nam Pham, Harpreet Kaur, 2020, Geophysical Prospecting.

Overcoming numerical dispersion of finite-difference wave extrapolation using deep learning

Nam Pham, Sergey Fomel, Harpreet Kaur, 2019, SEG Technical Program Expanded Abstracts 2019.

Elastic wave-mode separation in heterogeneous anisotropic media using deep learning

H. Kaur, N. Pham, Sergey Fomel, 2019, SEG Technical Program Expanded Abstracts 2019.

High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism

Y. Chen, N. Pham, O. Saad, 2022, IEEE Transactions on Neural Networks and Learning Systems.

A Fast Algorithm for Elastic Wave‐Mode Separation Using Deep Learning With Generative Adversarial Networks (GANs)

Nam Pham, Sergey Fomel, Harpreet Kaur, 2021 .

SCALODEEP: A Highly Generalized Deep Learning Framework for Real‐Time Earthquake Detection

N. Pham, A. Savvaidis, O. Saad, 2021, Journal of Geophysical Research: Solid Earth.

An explainable deep learning-enabled intrusion detection framework in IoT networks

Marwa Keshk, Nour Moustafa, N. Pham, 2023, Information Sciences.

Seismic data interpolation using CycleGAN

Harpreet Kaur, Sergey Fomel, Nam Pham, 2019, SEG Technical Program Expanded Abstracts 2019.

Deep Learning Framework with Period and Attention Mechanisms for Porosity and Permeability Prediction

N. Pham, S. Wang, X. Zhou, 2022, 83rd EAGE Annual Conference & Exhibition.

Missing well log prediction using convolutional long short-term memory network

Nam Pham, Xinming Wu, Ehsan Zabihi Naeini, 2020 .

Missing Well Log Prediction Using Deep Recurrent Neural Networks

N. Pham, E. Zabihi Naeini, N. Pham, 2019, 81st EAGE Conference and Exhibition 2019.

Seismic ground‐roll noise attenuation using deep learning

Sergey Fomel, Nam Pham, Harpreet Kaur, 2020, Geophysical Prospecting.

Separating primaries and multiples using hyperbolic Radon transform with deep learning

Sergey Fomel, Nam Pham, Harpreet Kaur, 2020 .