FaciesGAN: A conditional GAN framework for realistic facies scenario generation as an efficient alternative to multiple-point statistics

Hybrid convolutional neural network–graph attention network–gradient boosting decision tree model for seismic impedance inversion prediction

Transposed arrangement strategy-based deep learning for seismic data crossline interpolation

Dual-branch dense network for seismic background noise elimination

Fully automatic differentiation with coupling deep neural networks for full-waveform inversion

Porosity prediction with Bi-LSTM network for deep methane reservoirs

A precise picking method for seismic first arrivals based on the residual long short-term memory network driven by time-frequency dual domain data

GMLAN: Grouped-residual and multi-scale large-kernel attention network for seismic image super-resolution

Application of the spatial autocorrelation method incorporating damping optimization for identifying goafs in cultural heritage sites

A fluid factor inversion method using the frequency-domain two-step sub-band regularization