Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 356-360)
Chapter
Chapter 17: Land Resources Environment and Urban Planning
Edited by
Hexing Li, Qunjie Xu and Daquan Zhang
Pages
2950-2953
DOI
10.4028/www.scientific.net/AMR.356-360.2950
Citation
L. C. Wang, Z. Z. Wang, G. Tao, "Application of Data Mining on Reservoir", Advanced Materials Research, Vols. 356-360, pp. 2950-2953, 2012
Online since
October 2011
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Price
$32.00
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