Geovisualization for Association Rule Mining in Oil and Gas Well Data
Geovisualization for Association Rule Mining in Oil and Gas Well Data
复制标题
油气井数据关联规则挖掘的地理可视化
DOI:
10.3390/ijgi6020048
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发表时间:
2017-02
期刊:
影响因子:
--
通讯作者:
Xin Wang
中科院分区:
文献类型:
--
作者:
Xiaodong Sun;Xin Wang
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.
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