Articles

Reservoir Classification and Application Based on Mercury Injection Coefficient

  • YANG Ling ,
  • CHENG Daojie ,
  • LIU Baolei ,
  • BAI Songtao
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  • 1. Reservoir Evaluation Center, China Petroleum Logging Co., Ltd., Xi'an 710077, China;
    2. School of Petroleum Engineering, Yangtze University, Wuhan 430100, China

Received date: 2014-04-08

  Revised date: 2014-06-12

  Online published: 2014-08-27

Abstract

This paper proposes a reservoir classification method based on mercury injection data, according to the principle that the characteristic parameters in mercury injection method reflect the pore structure and permeability of the reservoir. Firstly, the lower limit of porosity was determined and the sensitive characteristic parameters were selected from the mercury injection data. The relationship map of property and oiliness of the study area shows that the lower limit of porosity of Kong 2 Member is 11%, namely the upper limit of the forth type of reservoir. However, the relationship map between electricity and oiliness shows that the lower limit of porosity of Kong 2 Member is 15%, namely the upper limit of the third type of reservoir. Relationship analysis of the mercury injection parameters and RQI shows the average pore throat radius, replacement pressure and sorting coefficient are the sensitive parameters that reflect effectiveness of the reservoir. The mercury injection coefficient that describes reservoir effectiveness was founded, and the classification standard based on mercury injection data was founded. Finally, the reservoirs are classified into four types. The quality of the first type is the best, and that of the fourth type is the worst. The logging data was processed by this method and the effect was checked by the physical property, particle size and oil test data. The results demonstrate that this method is reasonable and reliable.

Cite this article

YANG Ling , CHENG Daojie , LIU Baolei , BAI Songtao . Reservoir Classification and Application Based on Mercury Injection Coefficient[J]. Science & Technology Review, 2014 , 32(24) : 46 -50 . DOI: 10.3981/j.issn.1000-7857.2014.24.006

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