Numerical nine-shot seismo records for 1600 acoustic impedance distributions
<p>This dataset contains numerical seismo records for 1600 synthetic acoustic impedance distributions presented in [1]. Forward modeling was performed using grid-characteristic numerical method.</p> <p>There are nine seismo records for each impedance distribution. The records differ in excitation pulse positions. The pulses are located equidistantly on the upper boundary of the domain.</p> <p>Acoustic impedance distributions are in masks/ folder. For example, the file masks/1.npy contains the distribution for the sample number 1. Seismo records are in seismograms/ folder, each file name contains distribution number and pulse location. For example, the file seismograms/1_position_10.npy contains seismo record for the impedance distribution 1 obtained with the pulse center located 10 percent from the left border of the domain.</p> <p>The data is in NumPy native format. Total dataset size is 6.9G after extraction. Archive md5 checksum: dc9f61333f1eef17526831e0c6d9b493</p> <p>[1] Fangshu Yang and Jianwei Ma (2019). Deep-learning inversion: A next-generation seismic velocity model building method. DOI: 10.1190/geo2018-0249.1</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4