.png){kind=icon}
Return
Irregular Seismic Data Reconstruction Based on Compressive Sensing
.png){kind=icon}
PRE
AI
DOI：10.1007/s10553-025-01989-7.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
petroleum exploration and development
compressive sensing
irregular acquisition
seismic reconstruction
Journal
C
IF:
0.7
Papers:
116
Citations:
797
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSave
ShareSaveShareSaveAnomalous shear wave attenuation in the shallow crust beneath the Coso Volcanic Region, California
OAAI
OAAIShareSave
View more