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ISSN 2096-7780 CN 10-1665/P

基于泊松比模型的横波估算在滨里海盆地东缘TII区块应用

Application of shear wave estimation based on Poisson’s ratio model in Block TII of the eastern margin of the Pre-Caspian Basin

  • 摘要: 叠前波阻抗反演与入射角、纵波、横波速度、密度参数密切相关,利用纵、横波速度,计算产生的弹性参数远较叠后反演丰富,可区别岩性与含油气性,为钻探提供更丰富、更准确的依据。横波资料是叠前波阻抗反演必备的基础数据,鉴于TII区块只有1口横波测井数据,受泥浆浸泡等因素影响,对油气敏感的横波测井数据存在测不准现象,因此,叠前弹性参数反演的关键是估算对油气敏感的横波速度。针对TII区块主要目的层KT-I、KT-II层主要为非均质性较强的孔隙型碳酸盐岩储层特征,提出了基于泊松比模型经验公式方法估算的横波,有效提升叠前属性参数对油气的敏感度。本文通过测试处理,优选出了适合TII区块的基于泊松比模型经验公式方法横波估算的各项参数,优选出油气层敏感参数为vP/vS、门槛值为1.8,并通过针对KT-II_G层的vP/vS参数,预测了有效储层厚度,对井验证吻合度达到85%以上,为勘探评价部署井位提供了有力的支撑。

     

    Abstract: The inversion of pre-stack wave impedance is closely related to the parameters such as incident angle, P-wave velocity, S-wave velocity, and density. Compared to post-stack inversion, the inclusion of both P- to S-wave velocities allows for the derivation of more comprehensive elastic parameters. This enhances the ability to differentiate lithology and hydrocarbon-bearing formations, providing a more accurate foundation for drilling decisions. Shear-wave velocity data are particularly critical for pre-stack impedance inversion. However, in the TII block, only one set of S-wave logging data is available, and its reliability is uncertain due to factors such as mud invasion. As a result, accurately estimating shear-wave velocity especially its hydrocarbon-sensitive variations are a crucial step in elastic parameter inversion for pre-stack analysis. Given the characteristics of the main target formations, KT-I and KT-II, in the TII block, porous carbonate reservoirs with strong heterogeneity, this study proposes a shear-wave velocity estimation method based on an empirical Poisson’s ratio model. This approach effectively enhances the sensitivity of pre-stack seismic attributes to hydrocarbons. Through test processing, parameters of the Poisson’s ratio-based estimation model were selected to the geological conditions of the TII Block. A reservoir-sensitive threshold for the vP/vS ratio was identified as 1.8. Based on the vP/vS parameters of KT-II_G formation, the thickness of effective reservoir is predicted. The predicted thickness is more than 85% consistent with well verification, which provides a strong support for exploration and evaluation of well location deployment.

     

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