西南石油大学学报(自然科学版)

• 地质勘探 • 上一篇    下一篇

低渗透岩石声学特征及在含气性预测中的应用

范宜仁1,2 *,邢东辉1,2,邓少贵1,2,李润泽3,葛新民1,2   

  1. 1. 中国石油大学(华东)地球科学与技术学院,山东青岛266580
    2. 中国石油大学(华东)CNPC 测井重点实验室,山东青岛266580
    3. 中国石油青海油田分公司天然气开发公司,青海格尔木816000
  • 出版日期:2015-10-01 发布日期:2015-10-01
  • 通讯作者: 范宜仁,E-mail:fanyiren@upc.edu.cn
  • 基金资助:

    国家科技重大专项(2011ZX05020 008)。

Acoustic Properties of Low Permeability Cores and its Application to#br# Reservoir Gas Predication

Fan Yiren1,2*, Xing Donghui1,2, Deng Shaogui1,2, Li Runze3, Ge Xinmin1,2   

  1. 1. College of Geosciences,China University of Petroleum,Qingdao,Shandong 266580,China
    2. CNPC Key Laboratory of Well Logging,China University of Petroleum,Qingdao,Shandong 266580,China
    3. Natural Gas Development Company,Qinghai Oilfield Company,PetroChina,Germu,Qinghai 816000,China
  • Online:2015-10-01 Published:2015-10-01

摘要:

针对低渗透储层含气性定性识别、定量预测困难等问题,开展了模拟地层条件下的声学岩石物理实验,定量
研究了围压、孔隙压力、有效应力和孔隙流体等对纵、横波速度的影响。系统分析了纵横波速度、弹性参数等与含气饱
和度的关系,并基于Krief 弹性参数预测方法对实验结果进行了验证分析。实验和数值模拟结果表明,岩石的声学性
质受孔隙度、压力、孔隙流体性质等因素的综合影响,纵横波速度比波阻抗交会和纵横波平方交会截距对孔隙流体
性质较为敏感,可用于含气储层的识别与评价,对利用声波测井资料进行储层流体性质识别具有重要指导意义。

关键词: 低渗透岩石, 压力, 声波速度, 含气性, 交会法

Abstract:

To solve the problem in qualitative identification and quantitative prediction of gas content in low permeability
reservoir,an acoustic rock physics experiment was carried out which simulates the reservoir conditions and a quantitative
research of the influence of confining pressure,pore pressure,effective stress and pore fluid on compression and shear wave
velocity was done. Then the relationship between compression and shear wave velocity,elastic parameters and the gas saturation
was systematically analyzed. And the experimental result was checked with Krief elastic parameters prediction method. The
experimental results and numerical simulations show that the acoustical properties are affected by combination of factors such
as porosity,pressure,fluid property etc.,and shear wave velocity ratio-wave impedance intersection and compression and shear
wave square intercept can be used to identify gas. The ability of using acoustic logging data to identify reservoir fluid can be
improved with the two methods.

Key words: low permeability rocks, pressure, wave velocity, gas content, intersection method

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