Year: 2025
Type: article
Abstract: As seismic exploration advances into deeper subsurface layers, the demand for high imaging accuracy continues to grow. The effective identification of diffraction points has become a significant focus in petroleum exploration. We applied a wavenumber-domain-based diffraction point identification technique in migrated data to detect diffracted images that exist independently or are concealed beneath reflective interfaces. The core concept of this technique lies in the different distribution characteristics of diffraction points and continuous reflectors in the wavenumber domain: diffraction points are globally distributed, while continuous reflections exhibit specific energy concentrations. After filtering in the wavenumber domain, different energy types are separated to produce positive and negative wavenumber images. By inverse-transforming these images, positive and negative structural images in the spatial domain are obtained. Finally, by applying a multiplication imaging condition, the diffraction images are constructed. This method has been proved effective for analysing three-dimensional migrated data, thereby enhancing imaging accuracy in seismic exploration.
DOI: 10.1093/jge/gxaf049
Authors: Hao Xu, Hongwei Liu
Institution: China University of Petroleum, East China
Language: English
Subfield: Geophysics
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,550
Award: G3446926921
OpenAlex ID: W4410109651