Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Statistical Analysis of Network Data: Methods and Models
Statistical Analysis of Network Data: Methods and Models
Networks: An Introduction
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Expert Systems with Applications: An International Journal
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In this paper a new strategy for analyzing the capability of flow conductivity of hydrocarbon in fractures associated to a reservoir under study is presented. This strategy is described as an integrated methodology which involves as input data the intersection points of fractures that are extracted from hand-sample fracture images obtained from cores in a Naturally Fractured Reservoir. This methodology consists of two main stages. The first stage carries out the analysis and image processing, whose goal is the extraction of the topological structure from the system. The second stage is focused on finding the node or vertex, which represents the most important node of the graph applying an improved betweenness centrality measure. Once the representative node is obtained, the intensity of intersection points of the fractures is quantified. In this stage a sand box technique based on different radius for obtaining an intensity pattern in the reservoir is used. The results obtained from the integrated strategy allow us to deduce in the characterization of reservoir, by knowing the possible flow conductivity in the topology of the fractures viewed as complex network. Moreover our results may be also of interest in the formulation of models in the whole characterization of the reservoir.