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复杂孔隙结构储层地震岩石物理分析及应用

杨志芳1,2 曹 宏1 姚逢昌1 晏信飞1 孙卫涛2 刘嘉玮2 唐 刚1 卢明辉1 巴 晶1   

  1. 1 中国石油勘探开发研究院;2 清华大学
  • 出版日期:2014-06-15 发布日期:2014-06-15
  • 作者简介:杨志芳(1979-),女,山东东营人,硕士,2002 年毕业于中国石油勘探开发研究院研究生部,高级工程师,主要从事 地震岩石物理基础研究及叠前天然气地震检测等研究工作。地址:北京市海淀区学院路20 号中国石油勘探开发研究院物探技术研究所,邮 政编码:100083。E-mail: maggie@petrochina.com.cn
  • 基金资助:
    中国石油天然气集团公司十二五基础研究项目碳酸盐岩、致密砂岩地震岩石物理分析方法研究及应用(2011A-3601)。

Seismic Rock Physical Analysis of Complex Porous Reservoir and Its Application

Yang Zhifang1,2, Cao Hong1, Yao Fengchang1, Yan Xinfei1, Sun Weitao2, Liu Jiawei2, Tang Gang1, Lu Minghui1, Ba Jing1   

  1. 1 PetroChina Research Institute of Petroleum Exploration & Development ; 2 Tsinghua University
  • Online:2014-06-15 Published:2014-06-15

摘要: 致密砂岩、碳酸盐岩气藏等多以低孔低渗储层为主,孔隙成因和类型复杂多样,孔隙度及渗透率对地震 弹性模量和速度产生重要影响,为含气性预测带来很大困难。针对低孔低渗复杂孔隙介质,借助孔隙结构表征及地震 岩石物理分析,评价孔隙结构的复杂性及孔隙流体分布的非均匀性对地震波速度的影响,揭示低孔低渗储层中地震波 速度随物性、含流体性的变化规律。修正White 模型描述低孔低渗储层地震频段纵波速度随含气饱和度的变化规律, 建立低孔低渗储层含气饱和度定量预测模板,推动地震定量解释技术研发。研究成果在四川盆地须家河组致密砂岩气 层含气饱和度地震定量预测应用中取得了良好效果。

Abstract: Most of the tight sandstone and carbonate rock gas reservoirs are mainly low-porosity and low-permeability reservoirs with a variety of complex porous genesis and types. The porosity and permeability have an important influence on the seismic elastic modulus and velocity, making gas detection very difficult. To focus on the low porosity and low permeability complex pore media, the integrated evaluation of porous structure and seismic rock physical analysis can be used to evaluate how the complexity of porous structure and heterogeneity of porous fluid distribution influence seismic wave velocity, thus unveiling the law that seismic wave velocity changes with the physical properties and fluid properties. The White model is modified to represents the relationship between compressional wave velocity and gas saturation and establish the quantitative prediction template of gas saturation of low-porosity and low-permeability reservoir in order to promote seismic quantitative interpretation technological research and development. Good results were achieved when the research results were used to make seismic quantitative prediction of gas saturation in the tight sandstone gas reservoir of Xujiahe Formation in Sichuan Basin, SW China.