Application of Data Mining on Reservoir

Abstract:

Abstract. Domestic oil-gas fields are almost approaching production tail, and an increasing number of non-traditional oil-gas reservoirs are encountered during the process of exploratory development, which leads to a urgent requirement for an advanced method in that conventional methods, such as cross plot and multiple linear regression cannot precisely describe such complex oil-gas reservoirs. Thus, the main purpose of this paper is to come up with method of Decision Tree as final model for identification of reservoir fluid based on the comparison of advantage and disadvantage of fours methods, including Decision Tree, Support Vector Machines, Artificial Neural Network and Bayesian Network. In sum, data mining is a prospective applied method in oil reservoir geology.

• Periodical: Advanced Materials Research (Volumes 356-360)
• Pages: 2950-2953
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.356-360.2950
• Online since: October 2011
• Authors: Li Chang Wang, Zhi Zhang Wang, Guo Tao
• Keywords: Data Mining (DM), Reservoir Characterization

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