Automatic fault detection in seismic images using deep learning-based methods has
attracted great interest in recent years. Detecting faults by deep learning methods is …

Full‐waveform inversion (FWI) includes both migration and tomography modes. The
migration mode acts like a nonlinear least squares migration to map model interfaces with …

Seismic images of Earth's subsurface are essential for oil and gas exploration. Gaussian
beam migration is popular for seismic imaging owing to its flexibility and efficiency of …

Full waveform inversion (FWI) is a powerful tool to understand the real complicated earth
model. As FWI is a highly nonlinear problem and depends strongly on the initial model, how …

The scale length information of velocity perturbations carried by scattered wave is not only
dependent on wave frequency but also related to the scattering angle. We introduce a angle …

Acoustic impedance (AI) is a key parameter frequently used for characterizing reservoirs in
the oil and gas industry. The absolute AI can be divided into background and high …

Seismic migration commonly yields an incomplete reconstruction of the Earth model due to
restricted survey aperture, band‐limited frequency content and propagation effects. This …

Illumination and resolution analysis provides vital information regarding the response of an
imaging system to subsurface structures. However, generating the resolution function is …

Marchenko equation-based imaging methods have been proved as an effective way to
remove the internal multiples. Conventional Marchenko imaging needs the reflection …

Due to incomplete aperture coverage and complex overburden structures, the migration
process cannot provide a true-amplitude image even though a true-amplitude propagator is …