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Comparison of popular AVO attributes, AVO inversion, and calibrated AVO predictions

机译:常用AVO属性,AVO反演和校准AVO预测的比较

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摘要

Amplitude variation with offset techniques are used by exploration, development, and production teams to assist hydrocarbon identification in clastic depositional settings. While exploration groups tend to use AVO attributes for detection and risk quantification, exploitation and production groups use AVO attributes for reservoir characterization and even fluid-front monitoring. Accurate geoscience and engineering reservoir characterization (parameterization) improve prediction of hydrocarbon reserves and reservoir production. It is therefore essential to understand which seismic attributes will best contribute to the characterization of the reservoir. This paper focuses on the accuracy of AVO attributes commonly used in reservoir characterization. In particular, the effectiveness of intercept-gradient, lambda-mu-rho (λ-μ-ρ), and elastic impedance AVO attributes, and their ability to accurately predict reservoir extent are presented. Derivative AVO attribute volumes that are calibrated to well data are also compared.
机译:勘探,开发和生产团队使用具有偏移技术的振幅变化来协助碎屑沉积环境中的油气识别。勘探小组倾向于使用AVO属性进行检测和风险量化,而开采和生产小组则使用AVO属性进行储层表征甚至流体前沿监测。准确的地球科学和工程储层特征(参数化)可改善对油气储量和储层产量的预测。因此,必须了解哪些地震属性将最有助于油藏的表征。本文着重于通常用于储层表征的AVO属性的准确性。特别是,提出了截距梯度,λ-mu-rho(λ-μ-ρ)和弹性阻抗AVO属性的有效性,以及它们准确预测储层范围的能力。还比较了校准到井数据的衍生AVO属性量。

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  • 来源
    《The Leading Edge》 |2002年第3期|p.244-252|共9页
  • 作者

    CHRISTOPHER P. Ross;

  • 作者单位

    Hampson-Russell Software, Houston, Texas, U.S.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

  • 入库时间 2022-08-18 01:12:43

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