Geovisualization for Association Rule Mining in Oil and Gas Well Data

Geovisualization for Association Rule Mining in Oil and Gas Well Data
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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:
International Journal of Geo-Information
影响因子:
--
通讯作者:
Xin Wang
Xin Wang
中科院分区:
其他
文献类型:
--
作者:
Xiaodong Sun;Xin Wang

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石油和天然气数据上的关联规则挖掘最近已成功地用于帮助理解储层;因此,基于井位置的所发现的关联规则的可视化和理解以及基于规则的适用区域的后续预测是重要的。针对油气井数据中的关联规则,提出了基于点和基于面的地质可视化方法。基于点的方法表示基于井位置的关联规则,基于表面的方法通过空间插值和可视化表示潜在的适用区域。在加拿大西部阿尔伯塔的一个真实的冷采油井数据集上进行了实例研究,结果表明了所提出的地理可视化方法的可行性。
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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