Machine-learning-based porosity estimation from multifrequency poststack seismic data

Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media

(2021) Javier E. Santos et al.   TRANSPORT IN POROUS MEDIA

Repeatability enhancement of time-lapse seismic data via a convolutional autoencoder

(2021) Hyunggu Jun et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage

(2021) Hewei Tang et al.   International Journal of Greenhouse Gas Control

Tuning machine learning dropout for subsurface uncertainty model accuracy

(2021) Eduardo Maldonado-Cruz et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

PoreFlow-Net: a 3D c`onvolutional neural network to predict fluid flow through porous media

(2020) Javier E. Santos et al.   ADVANCES IN WATER RESOURCES

Semi‐auto horizon tracking guided by strata histograms generated with transdimensional Markov‐chain Monte Carlo

(2020) Yongchae Cho et al.   GEOPHYSICAL PROSPECTING

Seismic fault detection using an encoder–decoder convolutional neural network with a small training set

(2019) Shengrong Li et al.   Journal of Geophysics and Engineering

Trans-dimensional Markov chain Monte Carlo inversion of sound speed and temperature: Application to Yellow Sea multichannel seismic data

(2019) Hyunggu Jun et al.   JOURNAL OF MARINE SYSTEMS

Accelerating 2D frequency-domain full-waveform inversion via fast wave modeling using a model reduction technique

(2019) Yongchae Cho et al.   GEOPHYSICS

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Quantifying the effects of depositional environment on deep saline formation co2 storage efficiency and rate

(2018) Nicholas W. Bosshart et al.   International Journal of Greenhouse Gas Control

Quasi 3D transdimensional Markov-chain Monte Carlo for seismic impedance inversion and uncertainty analysis

(2018) Yongchae Cho et al.   Interpretation-A Journal of Subsurface Characterization

Reverse-time migration via frequency-adaptive multiscale spatial grids.

(2018) Yongchae Cho et al.   GEOPHYSICS

History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information

(2016) Honggeun Jo et al.   ENERGY EXPLORATION & EXPLOITATION

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE