Automated seismic fault interpretation has been an active area of research. Since 2018,
Deep learning (DL) based seismic fault interpretation methods have emerged and shown …

Seismic reflection utilizes sound waves transmitted into the subsurface, reflected at rock
boundaries, and recorded at the surface. Interpretation of their travel times and amplitudes …

At a regional scale, the best predictor for the 3D geology of the near-subsurface is often the
information contained in a geological map. One challenge we face is the difficulty in …

Horizon picking is a fundamental and crucial step for seismic interpretation, but it remains a
time-consuming task. Although various automatic methods have been developed to extract …

Automatic detection of horizons and other geological structures of interest is often employed
as a preliminary step in seismic interpretation. Although necessary, the identification and …

Picking the reflection horizon is an important step in velocity inversion and seismic
interpretation. Manual picking is time-consuming and no longer suitable for current large …

Seismic 3D full-horizon tracking is a fundamental and crucial step in sequence analysis and
reservoir modeling. Existing automatic full-horizon tracking approaches lack effective …

We have developed a new algorithm for tracking 3D seismic horizons. The algorithm
combines an inversion-based, seismic-dip flattening technique with conventional, similarity …

We present two Python libraries (map2loop and map2model) which combine the
observations available in digital geological maps with conceptual information, including …

Seismic sequences are stratigraphic units of relatively conformable seismic reflections.
These units are intervals of similar sedimentation conditions, governed by sediment supply …