Geovisualization for Association Rule Mining in Oil and Gas Well Data
AbstractAssociation 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
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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.
Sun X, Wang X. Geovisualization for Association Rule Mining in Oil and Gas Well Data. ISPRS International Journal of Geo-Information. 2017; 6(2):48.Chicago/Turabian Style
Sun, Xiaodong; Wang, Xin. 2017. "Geovisualization for Association Rule Mining in Oil and Gas Well Data." ISPRS Int. J. Geo-Inf. 6, no. 2: 48.
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