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基于广义弹性阻抗的流体识别因子反演方法研究与应用

贾凌云 李琳 王千遥 马劲风 王浩璠 王大兴

石油物探2018,Vol.57Issue(2):302-311,10.
石油物探2018,Vol.57Issue(2):302-311,10.DOI:10.3969/j.issn.1000-1441.2018.02.016

基于广义弹性阻抗的流体识别因子反演方法研究与应用

Fluid identification factor inversion based on generalized elastic impedance

贾凌云 1李琳 1王千遥 2马劲风 1王浩璠 1王大兴3

作者信息

  • 1. 西北大学地质学系,二氧化碳捕集与封存技术国家地方联合工程研究中心,陕西西安710069
  • 2. 中煤科工集团西安研究院有限公司,陕西西安710077
  • 3. 中国石油长庆油田公司勘探开发研究院,陕西西安710018
  • 折叠

摘要

Abstract

It is difficult to predict tight sandstone reservoirs using conventional elastic impedance (EI) inversion for fluid identification.Therefore,a generalized elastic impedance (GEI) approximation equation was derived as a formula of two parameters,namely a parameter of the P-and S-wave velocity ratio and a parameter of a new fluid factor (i.e.,the ratio of the Gassmann fluid term to S-wave velocity).The two parameters can be directly calculated by inversion,avoiding cumulative errors inherent to indirect calculations.The P-and S-wave velocity ratio parameter can be used to obtain Poisson's ratio.A forward modeling test revealed that the GEI formula had a higher precision than the EI formula for tight sandstone reservoir prediction.From a comparative analysis of multiple parameters from logging data in the research area,Poisson's ratio is the most sensitive parameter for lithological identification,and the new fluid factor is the most sensitive parameter for fluid identification.Field seismic data inversion in the Sulige gas field in the Ordos Basin,China,verified the reliability of the new fluid factor for fluid identification at a tight sandstone reservoir,and indicated that the new fluid factor exhibited a degree of anti-noise properties.

关键词

广义弹性阻抗反演/致密砂岩/岩性识别/流体因子/弹性阻抗/流体项/泊松比

Key words

GEI inversion/tight sandstone/lithological identification/fluid factor/elastic impedance/fluid item/Poisson's ratio

分类

天文与地球科学

引用本文复制引用

贾凌云,李琳,王千遥,马劲风,王浩璠,王大兴..基于广义弹性阻抗的流体识别因子反演方法研究与应用[J].石油物探,2018,57(2):302-311,10.

基金项目

国家高技术研究发展计划(863计划)(2012AA050103)资助.This research is financially supported by the National High-tech R & D Program of China (863 Program) (Grant No.2012AA050103). (863计划)

石油物探

OA北大核心CSCDCSTPCD

1000-1441

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