DocumentCode
2709793
Title
The Method Research of Knowledge Discovery in Reservoir Management
Author
Jun, Yao ; Yun, Zhang
Author_Institution
China Univ. of Pet., Dongying, China
fYear
2006
fDate
1-3 Nov. 2006
Firstpage
92
Lastpage
92
Abstract
Knowledge discovery is an important part of reservoir management, and it is also a bottleneck of widespread application of knowledge. So we should make use of some particular data mining methods to discover knowledge, which should be based on some particular fields. According to demand of oil and gas development and characters of reservoir data set, puts forward a new idea of knowledge discovery in reservoir management by the technology, such as data cleaning, data mining, knowledge evaluation, visualization, and illuminates the approach for its implication by the experiment.
Keywords
data mining; data visualisation; hydrocarbon reservoirs; data cleaning; data mining method; data visualization; knowledge discovery; knowledge evaluation; oil and gas development; reservoir data set; reservoir management;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
Conference_Location
Guilin
Print_ISBN
0-7695-2673-X
Type
conf
DOI
10.1109/SKG.2006.103
Filename
5727729
Link To Document