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Quantitative evaluation of organic porosity and inorganic porosity in shale gas reservoirs using logging data

机译:使用测井数据的页岩气储层有机孔隙率和无机孔隙的定量评价

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摘要

Reservoir pores space characterization is the core content of shale gas reservoir evaluation. The reservoir pore space of shale gas reservoir is complex, which can be divided into organic pore, clay pore, crack pore, and debris pore. A method for evaluating the four porosity of shale gas reservoir by using logging data is presented in this paper. First, according to the volume model, shale rock is equivalent to three parts: matrix, organic matter, and pore. On this basis, response equations of density logging and neutron logging are constructed. The total porosity of shale reservoirs can be solved by combining the two equations. Second, organic pore is nanopore that remains in organic matter during the conversion of kerogen to oil and gas, which is related to the content and maturity of organic matter. An equation for calculating organic porosity using total organic carbon content and density logging is presented. The scale factor in the equation is obtained from argon ion polishing scanning electron microscope experimental data. Third, based on the GRI porosity experimental data of 8 samples in the study area, the relationship among clay porosity, clay bound water saturation, and clay content was analyzed. It is considered that the clay bound water saturation has a certain correlation with the clay content, but the correlation coefficient is not high, has a positive correlation with the clay content. Based on this, a statistical model of clay porosity, clay content, and total porosity was established. Fourth, based on the dual laterolog response characteristics of microcracks, the fracture porosity of shale reservoirs is calculated by positive and negative simulation proposed by Li et al. In addition, the detrital porosity is equal to the difference between total porosity and organic porosity, clay porosity, crack porosity. The above techniques are applied to the calculation of four porosities of two wells in the Longmaxi Formation of Sichuan basin, China, and good effect has been achieved.
机译:水库孔隙空间表征是页岩气藏评估的核心含量。页岩气藏的水库孔隙空间复杂,可分为有机孔,粘土,裂缝和碎片孔。本文介绍了一种评价页岩气储层四孔隙的方法。首先,根据体积模型,页岩岩相当于三个部分:基质,有机物和孔隙。在此基础上,构建了密度测井和中子测验的响应方程。通过组合两个方程可以解决页岩储存器的总孔隙率。其次,有机孔是纳米孔,其在转化剂转化为油气和气体期间残留有机质,这与有机物质的含量和成熟有关。介绍了使用总有机碳含量和密度测井计算有机孔隙的等式。从氩离子抛光扫描电子显微镜实验数据获得等式中的比例因子。第三,基于研究区中的8个样品的GRI孔隙率实验数据,分析了粘土孔隙率,粘土结合水饱和度和粘土含量的关系。认为粘土结合的水饱和度与粘土含量有一定的相关性,但相关系数不高,与粘土含量具有正相关。基于此,建立了粘土孔隙率,粘土含量和总孔隙率的统计模型。第四,基于微裂纹的双侧面响应特征,通过Li等人提出的正负模拟来计算页岩储层的断裂孔隙率。此外,滴乳孔隙率等于总孔隙率和有机孔隙率,粘土孔隙率,裂纹孔隙率之间的差异。上述技术应用于四川盆地,中国龙曼河龙井两种井的孔隙率的计算。

著录项

  • 来源
    《Energy Sources》 |2019年第12期|811-828|共18页
  • 作者

    Zhang Chong; Shan Wen; Wang Xiu;

  • 作者单位

    Yangtze Univ Minist Educ Key Lab Explorat Technol Oil & Gas Resources Wuhan Hubei Peoples R China|Yangtze Univ Hubei Cooperat Innovat Ctr Unconvent Oil & Gas Wuhan Hubei Peoples R China;

    Yangtze Univ Minist Educ Key Lab Explorat Technol Oil & Gas Resources Wuhan Hubei Peoples R China|Yangtze Univ Hubei Cooperat Innovat Ctr Unconvent Oil & Gas Wuhan Hubei Peoples R China;

    Yangtze Univ Minist Educ Key Lab Explorat Technol Oil & Gas Resources Wuhan Hubei Peoples R China|Yangtze Univ Hubei Cooperat Innovat Ctr Unconvent Oil & Gas Wuhan Hubei Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Clay porosity; debris porosity; fracture porosity; logging evaluation; organic porosity; total porosity;

    机译:粘土孔隙;碎片孔隙率;裂缝孔隙度;测井评估;有机孔隙率;总孔隙度;
  • 入库时间 2022-08-18 21:17:26

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