An approach to digitizing and managing well-logging parameter graphs with agent-based perspective

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dc.contributor.author Li, C
dc.contributor.author Zhang, C
dc.contributor.author Wang, M
dc.contributor.author Song, Q
dc.date.accessioned 2009-11-09T05:35:32Z
dc.date.issued 2003
dc.identifier.citation Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03, 2003, pp. 11 - 17
dc.identifier.isbn 0769519318
dc.identifier.isbn 9780769519319
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2378
dc.description.abstract The curves on well-logging parameter graph are very important to reservoir description. But how to keep the parameter graphs permanently and use the data implied in those curves efficiently are still open problems in petroleum industry. In this paper, we contribute an approach to digitizing well log curves and storing the digitized information into Oracle database or data file server with multi-agent perspective. We employed Gaia methodology and open agent architecture to analyze and design the system. According to the characteristics of the well-logging parameter graphs, we implement the SCTR (Scanning, Compressing, Tracing, and Rectifying) algorithms with four agents to digitize well log curves. Two data management agents are developed for operating database and data files in uniform agent communication language. The experimental results show that this approach is effective. © 2003 IEEE.
dc.title An approach to digitizing and managing well-logging parameter graphs with agent-based perspective
dc.type Conference Proceeding
dc.parent Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03
dc.journal.number en_US
dc.publocation Los Alamitos, California, USA en_US
dc.identifier.startpage 11 en_US
dc.identifier.endpage 17 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference.location Halifax, Canada en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 011221
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE/WIC/ACM International Conference on Intelligent Agent Technology en_US
dc.date.activity 20031013 en_US
dc.location.activity Halifax, Canada en_US
dc.description.keywords geophysics computing , multi-agent systems , petroleum industry , relational databases , well logging en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history General Collection (ID: 346) [2015-05-15T14:12:19+10:00]
utslib.collection.history Closed (ID: 3)


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