Special Oil & Gas Reservoirs >

2020 , Vol. 27 >Issue 4: 98 - 104

DOI: https://doi.org/10.3969/j.issn.1006-6535.2020.04.015

Reservoir Engineering

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

  • Liu Yaru ,
  • Liu Baolei ,
  • Lei Zhengdong ,
  • Chen Xinbin ,
  • Yu Qin ,
  • Zhong Ming
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  • 1. Yangtze University, Wuhan,Hubei 430100,China;
    2. Hubei Province Key Laboratory of Drilling & Oil Production Engineering, Wuhan, Hubei 430100, China;
    3. MOE Key Laboratory of Oil & Gas Resources and Exploration Technology, Wuhan, Hubei 430100, China;
    4. PetroChinaResearch Institute of Petroleum Exploration and Development, Beijing 100083, China;
    5. CNPC Greatwall Drilling Company,Panjin, Liaoning 124000, China

Received date: 2019-11-10

  Revised date: 2020-05-11

  Online published: 2022-02-18

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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

Cite this article

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 . DOI: 10.3969/j.issn.1006-6535.2020.04.015

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