Exploration seismology uses reflected and refracted seismic waves, emitted from a
controlled (active) source into the ground, and recorded by an array of seismic sensors …

Mapping of seismic and lithologic facies from 3D reflection seismic data plays a key role in
depositional environment analysis and reservoir characterization during hydrocarbon …

Identification of geological features from seismic data such as faults, salt bodies, and
channels, is essential for studies of the shallow Earth, natural disaster forecasting and …

Seismic trace interpolation is an important technique because irregular or insufficient
sampling data along the spatial direction may lead to inevitable errors in multiple …

Salt dome detection in seismic images is a critical aspect of hydrocarbon exploration and
production. Salt domes are subsurface structures formed from the accumulation of salt …

We have built convolutional neural networks (CNNs) to obtain petrophysical properties in
the depth domain from prestack seismic data in the time domain. We compare two workflows …

Deep learning is widely used for seismic impedance inversion, but few work provides in-
depth research and analysis on designing the architectures of deep neural networks and …

Depicting geologic sequences from 3D seismic surveying is of significant value to
subsurface reservoir exploration, but it is usually time-and labor-intensive for manual …

Seismic facies interpretation supports subsurface geologic environment analyses and
reservoir predictions. Traditional interpretation methods require much manual work, and …

Seismic full waveform inversion is a common technique that is used in the investigation of
subsurface geology. Its classic implementation involves forward modeling of seismic …