Geovisualization for Association Rule Mining in Oil and Gas Well Data

Abstract

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.

HiVecMap: A parallel tool for real-time geovisualization of massive geographic vector data

“…Geovisualization is a new approach to understanding geospatial information and knowledge in the digital era, which finds many applications on a series of practical problems from areas such as digital earth [1], geophysics [2], environment [3,4], agriculture [5], energy [6], transportation [7]. In the process of geovisualization, the emphasis is on information exploration and sensemaking, where scientists and experts could use geovisualization tools to explore data, generate hypotheses, develop problem solutions and construct knowledge [8].…”

A Visual Measurement of Water Content of Crude Oil Based on Image Grayscale Accumulated Value Difference

“…Wang et al studied a visualization method to detect gas–oil–water flow in horizontal pipelines [29]. Sun et al proposed two geovisualization methods, associating the spatial information of wells with rules in oil and gas well data to gain a better understanding of oil well conditions [30].…”