西南石油大学学报(自然科学版)

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Microscopic Characteristics and Logging Macro Characterization of#br# Volcanic Rocks

Deng Shaogui1,2*, Zhao Yue1,2, Li Li1,2, Huo Ningning1,2   

  1. 1. College of Geosciences,China University of Petroleum,Qingdao,Shandong 266000,China
    2. CNPC Key Well Logging Laboratory,China University of Petroleum,Qingdao,Shandong 266000,China
  • Online:2015-12-01 Published:2015-12-01

Abstract:

Based on the image processing techniques,this paper analyzes the gray frequency distribution of image of the thin
sections in deep volcanic rocks from a certain oil field in north China,and investigates the microscopic characteristics of the
pore structures of reservoirs and their relationships with the log response of volcanic reservoirs. The research shows that the
thin sections in acid-volcanic-rock in this area are characterized by high silicon and low iron and that the line graph of their gray
frequency presents unimodal characteristics. However,the basic volcanic rock obviously presents asymmetric distribution and
shows a low silicon and high iron characteristics. Gray threshold value of the siliceous component corresponds to the range
of GR better in the image of thin sections of volcanic rocks. The GR value of basic volcanic rocks is low and gray value of
the siliceous component is small. The GR value and gray threshold value of the siliceous component of acid-volcanic-rock are
high. So the GR value can be used as the siliceous component to identify the basic volcanic rocks and acid volcanic rocks. For
basic volcanic rocks,the more serious the chloritization,the lower the resistivity,the higher the neutron porosity,the more
intense the siliceous component move towards the direction of the smaller gray value.

Key words: thin sections, image processing, gray frequency, microscopic characteristics, log response

CLC Number: