FaultSeg3D plus: A comprehensive study on evaluating and improving CNN-based seismic fault segmentation

Stratal surfaces honoring seismic structures and interpreted geologic time surfaces

Filling borehole image gaps with a partial convolution neural network

Deep-learning-based sferics recognition for audio magnetotelluric data processing in the dead band

Automatic velocity analysis with physics-constrained optimal surface picking

Enhancing one-way wave equation-based migration with deep learning

Unsupervised contrastive learning for seismic facies characterization

Toward accurate seismic flattening: Methods and applications

Semisupervised salt segmentation using mean teacher

Building subsurface models with horizon-guided interpolation and deep learning: Application to the Volve field data

Wavelet estimation and nonstretching NMO correction

Geologic-time-based interpolation of borehole data for building high-resolution models: Methods and applications

Deep learning for multidimensional seismic impedance inversion

ChannelSeg3D: Channel simulation and deep learning for channel interpretation in 3D seismic images

Seismic horizon extraction with dynamic programming

Improving fault surface construction with inversion-based methods

Interactively tracking seismic geobodies with a deep-learning flood-filling network

Least-squares diffraction imaging using shaping regularization by anisotropic smoothing

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

Waveform embedding: Automatic horizon picking with unsupervised deep learning