Inversion with stratigraphy-guided deep learning

Domain adaptation-based sparse time-frequency analysis and its application on seismic attenuation estimation

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

Generating 3D lithology probability volumes using poststack inversion, probabilistic neural networks, and Bayesian classification — A case study from the mixed carbonate and siliciclastic deposits of the Cisco Group of the Eastern Shelf of the Permian Basin, north-central Texas

Deep learning for high-resolution multichannel seismic impedance inversion

Borehole-driven sparse-spike deconvolution and seismic bandwidth enhancement

Unsupervised seismic random noise attenuation by a recursive deep image prior

Improving vertical resolution of vintage seismic data by a weakly supervised method based on cycle generative adversarial network

Imaging point diffractors using a low-rank approximation method

Seeing through the CO 2 plume: Joint inversion-segmentation of the Sleipner 4D seismic data set

Amplitude preservation and seismic inversion reliability post spectral shaping

Pyseistr: A Python Package for Structural Denoising and Interpolation of Multichannel Seismic Data

Research and application of 5D seismic prediction technology

Supervised poststack 3D seismic data classification via multiscale and multilabel consistent feature reduction

Three-parameter prestack nonlinear inversion constrained by gradient structure similarity

Separation and imaging of seismic diffractions using geometric mode decomposition

Evaluation of Natural Gas Hydrate Fault System: A Case from a Sag in Deep-Water Slope Area of the Northern South China Sea

An integrated study on fracture prediction using 3D P-wave field seismic data

Multiscale fracture prediction technique via deep learning, seismic gradient disorder, and aberrance: Applied to tight sandstone reservoirs in the Hutubi block, southern Junggar Basin

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