Applying Mathematical Morphological Top-Hat Transformation in Seismic Exploration for First Break Picking
G. Shang, J. Shen, W. Huang, Y. Zhou, L. Yuan and L. Cao
Event name: 81st EAGE Conference and Exhibition 2019
Session: Poster: Signal Processing A
Publication date: 03 June 2019
Info: Extended abstract, PDF ( 1.05Mb )
Price: € 20
In seismic prospecting, the first-break travelling time has been widely used. As the seismic industry moves toward denser source and receiver coverage, high-density data which leads to a dramatic increase in fold number, the workload of first-break picking is getting larger and larger. Many techniques has been applied in first-break picking, many traditional techniques are based on energy ratios. Here we proposed a method based on mathematical morphological top-hat transformation to achieve the first-break picking. Then we use synthetic and field examples to shown the performance of this method. The performance prove this method is viable.