{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:16:51Z","timestamp":1762507011692,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2017,2,18]],"date-time":"2017-02-18T00:00:00Z","timestamp":1487376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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\u2014point- and surface-based geovisualization\u2014are 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.<\/jats:p>","DOI":"10.3390\/ijgi6020048","type":"journal-article","created":{"date-parts":[[2017,2,20]],"date-time":"2017-02-20T11:07:24Z","timestamp":1487588844000},"page":"48","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Geovisualization for Association Rule Mining in Oil and Gas Well Data"],"prefix":"10.3390","volume":"6","author":[{"given":"Xiaodong","family":"Sun","sequence":"first","affiliation":[{"name":"Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada"},{"name":"School of Information and Technology, Northwest University, Xi\u2019an 710069, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,2,18]]},"reference":[{"key":"ref_1","first-page":"78","article-title":"Smart oilfield data mining for reservoir analysis","volume":"10","author":"Aulia","year":"2010","journal-title":"Int. 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