DocumentCode
2282866
Title
Data Mining for Seismic Exploration
Author
Ouyang, Zhongbin ; He, Jing ; Zhang, Keliang
Author_Institution
Res. Center on Fictitious Econ. & Data Sci., Chinese Acad. of Sci., Beijing
Volume
3
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
424
Lastpage
427
Abstract
Seismic exploration plays an important role in petroleum industry. It is widely admitted that there are a lot of limitations of conventional data analysis ways in oil and gas industry. Traditional methods in petroleum engineering are knowledge-driven and often neglect some underlying factors. On the contrary, data mining is to deal with mass of data and never overlook any important phenomena. Due to large volumes of seismic data, we apply data mining to seismic exploration in this paper. K-means based Cluster analysis is applied for the 3-D seismic and well log data. Comparing the clustering results with the well log data, it is easy to display the distribution of lithology in geo-space.
Keywords
data mining; petroleum industry; K-means; cluster analysis; data mining; petroleum engineering; petroleum industry; seismic exploration; Data analysis; Data mining; Data warehouses; Design optimization; Displays; Gas industry; Impedance; Intelligent agent; Knowledge engineering; Petroleum industry; cluster analysis; data mining; seismic exploration;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3496-1
Type
conf
DOI
10.1109/WIIAT.2008.161
Filename
4740813
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