Application of Statistical Analysis in the Ultra-Low Permeability Reservoir Classification of Changqing Oilfield

doi:10.3969/j.issn.1006-6535.2020.04.015

Abstract

Abstract: In order to specifically improve the production and development performances of ultra-low permeability reservoirs by classification and enhance their oil recovery, a correlation analysis on reservoir parameters was conducted by comprehensively considering the geology properties and development performances. A total of 7 parameters was taken as the indicators for reservoir classification and factor analysis was used to analyze 90 ultra-low permeability blocks in Changqing Oilfield. 4 major indicators were further taken to classify these reservoirs by K-means clustering analysis method. The discriminant formulas for various reservoir categories were obtained according to discriminant analysis, which finally classified the 90 reservoir blocks into three categories and provided a comprehensive evaluation. This classification can effectively characterize the development performances of various ultra-low permeability reservoir blocks and the corresponding classification is consistent with that of actual development performance. This research could provide certain reservoir classification reference for the reasonable development of ultra-low permeability reservoirs and favorably guide the production and development of ultra-low permeability reservoir.

Key words: ultra-low permeability reservoir, factor analysis, production performance analysis, development performance, Changqing Oilfield

CLC Number:

TE348

Liu Yaru, Liu Baolei, Lei Zhengdong, Chen Xinbin, Yu Qin, Zhong Ming. Application of Statistical Analysis in the Ultra-Low Permeability Reservoir Classification of Changqing Oilfield[J]. Special Oil & Gas Reservoirs, 2020, 27(4): 98-104.

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