DocumentCode
498926
Title
PCTR: An improved approach to digitizing well-logging parameter graph
Author
Yang, Er-long
Author_Institution
EOR Key Lab. of Minist. of Educ., Daqing, China
Volume
3
fYear
2009
fDate
12-15 July 2009
Firstpage
1799
Lastpage
1804
Abstract
According to the characteristics of well-logging graphs, we contribute a PCTR (preprocessing, compressing, tracing, and rectifying) approach to digitizing skeleton type of curves. The preprocessing algorithm is based on the biggest variance ratio. We employed line adjacency graph (LAG) data structure to develop the image-compressing algorithm, which compresses image file with great efficiency. The rectifying algorithms based on centimeter grid of coordinates, which perfectly rectify the distortion of parameter graph, are proposed. The experimental results show that the PCTR approach in the system can work effectively.
Keywords
data compression; data structures; geophysical signal processing; graph theory; image coding; well logging; LAG data structure; PCTR; image-compressing algorithm; line adjacency graph; preprocessing, compressing, tracing, and rectifying approach; well-logging parameter graph; Cybernetics; Data structures; Image coding; Image processing; Impedance; Laboratories; Machine learning; Natural gas; Petroleum industry; Skeleton; Image compressing; Image processing; Line adjacency graph; Well-logging graph;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212323
Filename
5212323
Link To Document