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ISPRS Int. J. Geo-Inf. 2017, 6(2), 48; doi:10.3390/ijgi6020048

Geovisualization for Association Rule Mining in Oil and Gas Well Data

1
and
1,2,*
1
Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
2
School of Information and Technology, Northwest University, Xi’an 710069, China
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 7 November 2016 / Revised: 21 December 2016 / Accepted: 13 February 2017 / Published: 18 February 2017
View Full-Text   |   Download PDF [10660 KB, uploaded 18 February 2017]   |  

Abstract

Association rule mining on oil and gas data has recently been successfully used to help understand reservoirs; therefore, the visualization and understanding of the discovered association rules based on well locations and subsequent predictions based on the applicable areas of the rules are important. In this paper, two visualization methods—point- and surface-based geovisualization—are proposed for association rules from oil and gas well data. The point-based method represents association rules based on well locations, and the surface-based method represents potentially applicable areas through spatial interpolation and visualization. A case study has been carried out on a real cold production oil well dataset in western Alberta, Canada, and, the results illustrate the feasibility of the proposed geovisualization methods. View Full-Text
Keywords: geovisualization; oil and gas data; association rule mining; data mining for oil and gas geovisualization; oil and gas data; association rule mining; data mining for oil and gas
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Sun, X.; Wang, X. Geovisualization for Association Rule Mining in Oil and Gas Well Data. ISPRS Int. J. Geo-Inf. 2017, 6, 48.

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