Deep learning (DL) seismic simulations have become a leading-edge field that could
provide an effective alternative to traditional numerical solvers. We have developed a small …

We use techniques from Bayesian inference and deep neural networks to translate
uncertainty in seismic imaging to uncertainty in tasks performed on the image, such as …

A staunch companion to seismic signals, noise consistently hinders processing and
interpretation of seismic data. Borrowing ideas from the field of computer vision, we propose …

For seismic exploration, excellent seismic records are of extreme significance. However,
because of extensive mining over a long period, spare natural resources are primarily …

Deghosting of marine seismic data is an important and challenging step in the seismic
processing flow. We describe a novel approach to train a supervised convolutional neural …

Ghost reflections from the free surface distort the source signature and generate notches in
the seismic amplitude spectrum. For this reason, removing ghost reflections is essential to …

Seismic interferometry is a key technology in geophysical exploration, having achieved
significant developments in constructing virtual seismic responses, overcoming the limitation …

In the marine seismic acquisition, hydrophones are distributed along streamers that are
towed under the sea surface, recording both the upgoing primary reflections and the …

Intracratonic strike-slip faults play a vital role in hydrocarbon migration and accumulation,
making their accurate detection crucial for subsurface structure interpretation and reservoir …

The presence of the air–water interface (or free‐surface) creates two major problems in
marine seismic data for conventional seismic processing and imaging: free‐surface …