Machine learning algorithms for automatic velocity picking: K-means vs. DBSCAN

Author:

bin Waheed Umair1,Al-Zahrani Saleh2,Hanafy Sherif M.2

Affiliation:

1. College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals

2. Arabian Geophysical and Surveying Company

Publisher

Society of Exploration Geophysicists

Reference12 articles.

1. Ester, M., H.P., Kriegel, J., Sander, and X., Xu, 1996, A density-based algorithm for discovering clusters in large spatial databases with noise: Proceedings of KDD, 226–231.

2. Fish, B. C., and T., Kusuma, 1994, A neural network approach to automate velocity picking: 64th Annual International Meeting, SEG, Expanded Abstracts, 185–188, doi: 10.1190/1.1822888.

3. Velocity analysis usingABsemblance

4. Data Clustering: Theory, Algorithms, and Applications

5. MacQueen, J., 1967, Some methods for classification and analysis of multivariate observations: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 281–297.

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