The diffractive component of the wavefield is often treated as noise during traditional
preprocessing workflows. However, it possesses valuable information for imaging faults …

Machine learning (ML) plays an important role in gas-bearing prediction based on
multicomponent seismic data because it can reveal the complex relationship between …

Seismic interpretation is a fundamental approach for obtaining static and dynamic
information about subsurface reservoirs, such as geological faults/salt bodies and …

Seismic diffraction events, often overlooked as noise in conventional seismic imaging
methods, contain valuable high-resolution information about subsurface structures and …

The dielectric permittivity is a crucial parameter in planetary ground penetrating radar (GPR)
missions such as the RIMFAX radar on the Mars 2020 Perseverance Rover. It describes the …

When seismic waves encounter abrupt points of stratum or lithology in the process of
propagation, such as fault edges, pinch-out points, or the protrusion of unconformity …

Time‐reversal imaging is a critical technique for characterizing natural earthquakes and
artificial sources. Traditional time reversal methods sum the extrapolated wavefields of …

Separation of diffracted from reflected events in seismic data is still challenging due to the
relatively low amplitude of the diffracted wavefield compared to the reflected wavefield as …

Diffraction separation and imaging are important for subsurface discontinuities
characterization. However, conventional diffraction separation methods may lose validity …

In China, there is an urgent need for intelligent and environmentally friendly coal mining
practices to address the issue of accurately mapping transparent geological conditions …