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 full waveform inversion (FWI) is an efficient imaging method for estimating
subsurface physical parameters. However, when the initial models are inaccurate or seismic …

Carbonate stringers are defined as a slab of carbonate bodies encased inside salt. In Oman,
the intra-salt carbonate stringers are a very common target, especially in South Oman Salt …

We propose a novel machine learning-based seismic volume reconstruction method that
gradually extrapolates a seed volume by referring to line data external to the seed volume …

Image enhancement is crucial for improving the resolution of seismic images obtained from
band-limited data. While machine learning techniques, particularly the U-Net model, have …

The refinement of acquired well logs has traditionally relied on predefined rock physics
models, albeit with their inherent limitations and assumptions. As an alternative, effective yet …

Deep learning techniques have shown significant potential in many applications through
recent years. The achieved results often outperform traditional techniques. However, the …

Artificial intelligence (AI), especially deep learning (DL) methods, is revolutionizing the
seismic-driven subsurface workflows, enabling more accurate understanding of subsurface …

The classification of seismic events has been crucial for monitoring underground nuclear
explosions and unnatural seismic events as well as natural earthquakes. This research is an …

Deep learning has demonstrated remarkable performance in a wide variety of domains and
is often leveraged for making high-stakes decisions. Parallel to its growing and beneficial …