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<p>Improving the imaging accuracy of geological formations under dual complex conditions (including complex surfaces and structures) is essential for precisely illustrating structural morphology and understanding reservoir characteristics. The multi-focus imaging is a real surface imaging method that takes into account signal-to-noise ratio (SNR) and resolution. Drawing upon the principles of paraxial ray theory and Hubra's two-wavefront theory, this approach employs a global optimization inversion algorithm to determine the radii and exit angles of the two wavefronts. Furthermore, it incorporates a non-hyperbolic travel time formula for accurate correction. By combining receiving channels from different CMP channels within the same Fresnel band radius, this method effectively enhances both the SNR and resolution of seismic data. The multi-focus imaging technique is a surface imaging method that considers both SNR and resolution. Drawing upon the principles of paraxial ray theory and Hubra's two-wavefront theory, this approach employs a global optimization inversion algorithm to determine the radii and exit angles of the two wavefronts. Furthermore, it incorporates a non-hyperbolic travel time formula for accurate correction. By combining receiving channels from different CMP channels within the same Fresnel band radius, this method effectively enhances both SNR and resolution of seismic data.</p>

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Multi-focus Imaging Under Complex Surface and Structure

  • 期刊论文

  • 发表日期：

    2025年6月30日

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  • Liyan Zhang,
  • Ang Li

摘要

Improving the imaging accuracy of geological formations under dual complex conditions (including complex surfaces and structures) is essential for precisely illustrating structural morphology and understanding reservoir characteristics. The multi-focus imaging is a real surface imaging method that takes into account signal-to-noise ratio (SNR) and resolution. Drawing upon the principles of paraxial ray theory and Hubra's two-wavefront theory, this approach employs a global optimization inversion algorithm to determine the radii and exit angles of the two wavefronts. Furthermore, it incorporates a non-hyperbolic travel time formula for accurate correction. By combining receiving channels from different CMP channels within the same Fresnel band radius, this method effectively enhances both the SNR and resolution of seismic data. The multi-focus imaging technique is a surface imaging method that considers both SNR and resolution. Drawing upon the principles of paraxial ray theory and Hubra's two-wavefront theory, this approach employs a global optimization inversion algorithm to determine the radii and exit angles of the two wavefronts. Furthermore, it incorporates a non-hyperbolic travel time formula for accurate correction. By combining receiving channels from different CMP channels within the same Fresnel band radius, this method effectively enhances both SNR and resolution of seismic data.