Penentuan Data Kecepatan menggunkan Reverse Dynamic Time Warping- Normal Moveout (DTW-NMO) pada Data Seismik

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.