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碎屑岩储层非线性频变反演与含气砂岩预测方法研究

阴国锋 吕鹏 朱振鑫 曾勇坚 孙进 张奎

海相油气地质2025,Vol.30Issue(6):613-624,12.
海相油气地质2025,Vol.30Issue(6):613-624,12.DOI:10.3969/j.issn.1672-9854.2025.06.007

碎屑岩储层非线性频变反演与含气砂岩预测方法研究

Research on nonlinear frequency dependent inversion of clastic rock reservoirs and prediction methods of gas-bearing sandstones

阴国锋 1吕鹏 1朱振鑫 1曾勇坚 2孙进 2张奎2

作者信息

  • 1. 中国石油化工股份有限公司上海海洋油气分公司勘探开发研究院
  • 2. 北京普瑞斯安能源科技有限公司
  • 折叠

摘要

Abstract

Frequency-dependent AVO inversion based on viscoelastic theory is an effective method that uses dispersion characteristics to guide fluid identification.The formation quality factors obtained by inversion have certain effects in the fluid detection of clastic rock reservoirs.However,at present,most of the inversion methods for quality factors are linear inversions based on linear reflection coefficient approximation equations.Moreover,the nonlinear inversion method based on the highly accurate and less assumption-based exact Zoeppritz equation fails to provide stable solutions,and has low computational efficiency,which restricts its large-scale application ability in three-dimensional work areas.To address the above issues,based on Bortfeld's nonlinear approximation,this study derived the nonlinear reflection coefficient equation considering seismic frequency.While ensuring the accuracy of the equation,it reduce its complexity.On this basis,a new pre-stack nonlinear two-step frequency-dependent inversion method is developed to predict the quality factor of the stratum,and reasonable and effective fluid identification results are obtained.It provides a strong basis for the prediction of gas-bearing clastic rock reservoirs.The applicability of this method in reservoir containment assessment is verified by the synthetic record tests and actual work area applications.

关键词

碎屑岩储层/黏弹性介质/非线性频变反演/品质因子/流体识别

Key words

clastic rock reservoir/viscoelastic medium/nonlinear frequency-dependent inversion/quality factor/fluid identification

分类

能源科技

引用本文复制引用

阴国锋,吕鹏,朱振鑫,曾勇坚,孙进,张奎..碎屑岩储层非线性频变反演与含气砂岩预测方法研究[J].海相油气地质,2025,30(6):613-624,12.

基金项目

本文受中国石油化工股份有限公司课题"孔雀亭东部低带深层地震资料目标处理"(编号:34000000-24-ZC0613-0064)资助 (编号:34000000-24-ZC0613-0064)

海相油气地质

OA北大核心

1672-9854

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