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

Li, C; Zhang, C; Wang, M; Song, Q

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

Li, C Zhang, C

Wang, M Song, Q

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03, 2003, pp. 11 - 17
Issue Date:: 2003-12-01

Closed Access

	Filename	Description	Size
	2003001889.pdf		143.23 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Li, C	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.contributor.author	Wang, M	en_US
dc.contributor.author	Song, Q	en_US
dc.date.issued	2003-12-01	en_US
dc.identifier.citation	Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03, 2003, pp. 11 - 17	en_US
dc.identifier.isbn	0769519318	en_US
dc.identifier.isbn	9780769519319	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.	en_US
dc.relation.ispartof	Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03	en_US
dc.title	An approach to digitizing and managing well-logging parameter graphs with agent-based perspective	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Halifax, Canada	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2378