Title :
PCTR: An improved approach to digitizing well-logging parameter graph
Author_Institution :
EOR Key Lab. of Minist. of Educ., Daqing, China
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;
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
DOI :
10.1109/ICMLC.2009.5212323