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<p>With the continuous advancement of petroleum exploration and development, both the exploration targets and environments have become increasingly complex, placing greater demands on seismic exploration techniques. The complexity of field acquisition environments hinders the regular deployment of shot and receiver points, which significantly affects seismic data processing and imaging quality. Seismic data reconstruction based on compressive sensing (CS) theory offers an effective solution to mitigate the adverse effects of irregular acquisition caused by complex surface conditions, thereby substantially improving seismic imaging quality. In 2020, we conducted an onshore seismic survey in western China, and we collected 2001 shot gathers with irregular shot and receiver points for seismic reconstruction experiment. The stacking and migration sections, before and after reconstruction, clearly demonstrate that CS-based seismic data reconstruction can significantly enhance seismic data imaging quality.</p>

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Irregular Seismic Data Reconstruction Based on Compressive Sensing

  • 期刊论文

  • 发表日期：

    2025年11月1日

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  • Qiwei Zou,
  • Kang Liu,
  • Shengqiang Mu,
  • Mengcheng Shu,
  • Guoxu Shu,
  • Shoudong Huo,
  • Bin Zhang,
  • Tong Bai

摘要

With the continuous advancement of petroleum exploration and development, both the exploration targets and environments have become increasingly complex, placing greater demands on seismic exploration techniques. The complexity of field acquisition environments hinders the regular deployment of shot and receiver points, which significantly affects seismic data processing and imaging quality. Seismic data reconstruction based on compressive sensing (CS) theory offers an effective solution to mitigate the adverse effects of irregular acquisition caused by complex surface conditions, thereby substantially improving seismic imaging quality. In 2020, we conducted an onshore seismic survey in western China, and we collected 2001 shot gathers with irregular shot and receiver points for seismic reconstruction experiment. The stacking and migration sections, before and after reconstruction, clearly demonstrate that CS-based seismic data reconstruction can significantly enhance seismic data imaging quality.