石油地质与工程2024,Vol.38Issue(5) :17-24.

储层特征约束频散AVO流体检测方法及应用

Reservoir characteristics constrained dispersion AVO fluid detection method and its application

唐金良
石油地质与工程2024,Vol.38Issue(5) :17-24.

储层特征约束频散AVO流体检测方法及应用

Reservoir characteristics constrained dispersion AVO fluid detection method and its application

唐金良1
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作者信息

  • 1. 中国石化石油物探技术研究院,江苏南京 211103
  • 折叠

摘要

以AVO方法为根本的流体识别技术,是通过求解Zoeppritz方程获得储层流体响应特征,从而实现地下储层中油气水等流体的识别技术;但直接求解Zoeppritz方程难度极大,所以学者们提出了不同形式的AVO近似方程,这些近似方程均是通过对地下地层进行一系列假设后推演而来,与Zoeppritz方程精确解存在误差,影响储层流体检测的效果和精度.基于储层特征约束的AVO反演方法,先将反射系数用一个线性通用公式来表示,再通过使用蒙特卡罗随机模拟方法构建能够反映储层信息的基函数,从而完成AVO方程的优化.将储层先验信息作为约束条件,使得该方法对储层流体的研究具有针对性,同时又保障反演流体属性的精度.将高精度时频分析与储层特征约束AVO反演方法相结合,实现了与频率相关的频散AVO反演,经应用证实该方法可进一步提高储层含流体性质检测的精度.

Abstract

The fluid identification technology based on AVO method obtains reservoir fluid response charac-teristics by solving the Zoeppritz equation,but directly solving Zoeppritz is extremely difficult.Therefore,scholars have proposed different forms of AVO approximate equations.However,these approximate equa-tions are based on a series of assumptions,and there are errors with the accurate solution of Zoeppritz equa-tion,which affects the effectiveness and accuracy of reservoir fluid detection.The AVO inversion method based on reservoir feature constraints first represents the reflection coefficient with a linear universal formu-la,and then constructs a basis function that can reflect reservoir information by using Monte Carlo random simulation method,thereby completing the optimization of the AVO equation.The prior information of the reservoir serves as a constraint condition,making this method targeted in the study of reservoir fluids while ensuring the accuracy of inverting fluid properties.Combining high-precision time-frequency analysis with AVO inversion method constrained by reservoir characteristics,the frequency related dispersion AVO inversion is realized,which further improves the accuracy of reservoir fluid property detection.

关键词

储层特征/时频分析/频散AVO/流体检测

Key words

reservoir characteristics/time frequency analysis/dispersion AVO/fluid detection

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出版年

2024
石油地质与工程
中国石化河南油田分公司

石油地质与工程

影响因子:0.453
ISSN:1673-8217
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