Self-supervised denoising at low signal-to-noise ratios: A seismic-while-drilling application

Optimizing a transformer-based network for a deep-learning seismic processing workflow

PINNslope: Seismic data interpolation and local slope estimation with physics informed neural networks

Posterior sampling with convolutional neural network-based plug-and-play regularization with applications to poststack seismic inversion

Trace-wise coherent noise suppression via a self-supervised blind-trace deep-learning scheme

Target-oriented high-resolution elastic full-waveform inversion with an elastic redatuming method

Time-lapse data matching using a recurrent neural network approach

Wave-equation migration velocity analysis via the optimal-transport-based objective function

Machine learning-enabled traveltime inversion based on the horizontal source-location perturbation

Pseudoelastic pure P-mode wave equation

Direct microseismic event location and characterization from passive seismic data using convolutional neural networks

Mapping full seismic waveforms to vertical velocity profiles by deep learning

Frequency-domain reflection waveform inversion with generalized internal multiple imaging

A reflection-based efficient wavefield inversion

Target-oriented time-lapse waveform inversion using deep learning-assisted regularization

Machine-driven earth exploration: Artificial intelligence in oil and gas

Regularized elastic passive equivalent source inversion with full-waveform inversion: Application to a field monitoring microseismic data set

Target-oriented waveform redatuming and high-resolution inversion: Role of the overburden

ML-descent: An optimization algorithm for full-waveform inversion using machine learning

A sequential inversion with outer iterations for the velocity and the intrinsic attenuation using an efficient wavefield inversion