Author(s)

Yu Ding^1,2, Rui Deng^2,3, Chao Zhu^4*

¹School of Computer Science, Yangtze University, Jingzhou, China.
²Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan, China.
³School of Geophysics and Oil Resource, Yangtze University, Wuhan, China.
⁴The Internet and Information Center, Yangtze University, Jingzhou, China.

This paper studied the interpretation method of realization of data mining for large-scale petrophysical data, which took distributed architecture, cloud computing technology and B/S mode referred to big data technology and data mining methods. Based on petrophysical data mining application of K-means clustering analysis, it elaborated the practical significance of application association with big data technology in well logging field, which also provided a scientific reference for logging interpretation work and data analysis and processing method to broaden the application.

Big Data Technology, Data Mining, Logging Field Method

Ding, Y. , Deng, R. and Zhu, C. (2018) Research on Realization of Petrophysical Data Mining Based on Big Data Technology. Open Journal of Yangtze Oil and Gas, 3, 1-10. doi: 10.4236/ojogas.2018.31001.