The Classification of Low Permeable and Low Yield Reservoir Based on Grey Relational Clustering Analysis

Abstract:

In accordance with the non-dimensional data feature of low permeable and low yield reservoir, this paper defines the distance between non-dimensional vectors and establishes a grey correlation degree quantification model of non-dimensional data series, which exploits relevance weighting method and objective weighting method to determine the comprehensive weight of classification indexes respectively and establishes a grey clustering analysis model to sort the oil wells and obtain the maximum spanning tree to classify the low permeable and low yield reservoir in a certain confidence level. The actual classification results of the two laminated production wells of Baoziwan reservoir of Changqing oilfield shows the grey relational clustering analysis of low permeable and low yield reservoir classification has extensive adaptability for non-dimensional data, and the weight is determined rationally, the method could classify oil wells under different confidence level according to different requirement, which has preferable guidance to practical problems.

• Periodical: Applied Mechanics and Materials (Volume 392)
• Pages: 997-1005
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.392.997
• Online since: September 2013
• Authors: Yan Feng Lu, Rui Quan Liao, Jun Liang Li
• Keywords: Confidence Level, Correlation Degree Analysis, Distance, Grey Clustering Method, Maximum Spanning Tree

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