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ISPRS Int. J. Geo-Inf. 2017, 6(3), 76; doi:10.3390/ijgi6030076

A Web-Based Visual and Analytical Geographical Information System for Oil and Gas Data

Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
School of Information and Technology, Northwest University, Xi’an 710069, China
Author to whom correspondence should be addressed.
Academic Editors: Bert Veenendaal, Maria Antonia Brovelli, Serena Coetzee, Peter Mooney and Wolfgang Kainz
Received: 8 November 2016 / Revised: 1 March 2017 / Accepted: 3 March 2017 / Published: 9 March 2017
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
View Full-Text   |   Download PDF [6045 KB, uploaded 9 March 2017]   |  


With the development of strategic oil and gas assets, massive spatiotemporal oil and gas data have been accumulated. Application systems that assist in the storage and management of the voluminous and complex oil and gas datasets are in high demand. The voluminous and various data should be leveraged and turned into information for business decision-making and operation assistance. In this paper, we propose a set of visual analytic methods that specialize in oil and gas data; and, we develop a web-based oil and gas data management, visualization and analytical system, called Oil and Gas Visual Exploration System (OGVES). With OGVES, complex and multi-sourced oil and gas data can be stored, searched, filtered, and represented. As a web-based system, the OGVES provides more accessibility, convenience and efficiency than traditional desktop systems. Spatial scales and temporal primitives contained in oil and gas data are discussed. Different visualization methods are then presented to explore and represent spatiotemporal features of the oil and gas data. Various case studies demonstrate the usability of the system. View Full-Text
Keywords: oil and gas data management; data visualization; visual exploration; spatiotemporal data oil and gas data management; data visualization; visual exploration; spatiotemporal data

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, Y.; Wei, B.; Wang, X. A Web-Based Visual and Analytical Geographical Information System for Oil and Gas Data. ISPRS Int. J. Geo-Inf. 2017, 6, 76.

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