| dc.description.abstract | Velocity data in the processing of seismic reflection data plays an important role in the
process of normal-moveout (NMO) correction and migration. Velocity data is
conventionally obtained by doing velocity analysis that is picking velocity on the velocity
spectrum in two-way-time zero offset. With the introduction of NMO correction method
without input velocity data using dynamic time warping (DTW) algorithm by Chen, et al
(2020), in this study python programming code was built to determine seismic velocity data
based on seismic data that has been flattened using the DTW algorithm. The performance of
the programming code is then tested using several data conditions, include noiseless data,
data with random noise, data with varying wavelet, and anisotropic data. The resulting of
seismic velocity data is NMO velocity and interval velocity which is then compared to the
velocity model to know that the seismic velocity determination process using the
programming code has good results. | en_US |
