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王慧欣, 张大海, 张纪, 周静毅. 基于Kf-μ-ϕ近似方程的深层叠前地震反演研究[J]. 海洋石油, 2020, 40(2): 22-27. DOI: 10.3969/j.issn.1008-2336.2020.02.022
引用本文: 王慧欣, 张大海, 张纪, 周静毅. 基于Kf-μ-ϕ近似方程的深层叠前地震反演研究[J]. 海洋石油, 2020, 40(2): 22-27. DOI: 10.3969/j.issn.1008-2336.2020.02.022
WANG Huixin, ZHANG Dahai, ZHANG Ji, ZHOU Jingyi. Study on Deep Reservoir Pre-stack Inversion Based on Kf-μ-ϕ Approximate Equation[J]. Offshore oil, 2020, 40(2): 22-27. DOI: 10.3969/j.issn.1008-2336.2020.02.022
Citation: WANG Huixin, ZHANG Dahai, ZHANG Ji, ZHOU Jingyi. Study on Deep Reservoir Pre-stack Inversion Based on Kf-μ-ϕ Approximate Equation[J]. Offshore oil, 2020, 40(2): 22-27. DOI: 10.3969/j.issn.1008-2336.2020.02.022

基于Kf-μ-ϕ近似方程的深层叠前地震反演研究

Study on Deep Reservoir Pre-stack Inversion Based on Kf-μ-ϕ Approximate Equation

  • 摘要: Yin X Y等(2014)提出了基于流体体积模量的四项AVO近似方程,该文在此基础上,并根据Zhang等(2014)的假设推导出适用于深部储层窄角度的基于流体体积模量Kf、体积模量μ和孔隙度ϕ的三项AVO近似方程。通过精度分析和模型测试表明:在入射角达到27°时,该近似方程与Zoeppritz方程反射系数差值为0.015,精度满足反演要求;在无噪和有噪两种条件下,该方程的反演结果与原始曲线误差皆在允许的范围内,稳定性满足反演要求;因此理论条件下,基于Kf-μ-ϕ的AVO近似方程具有一定的可行性。在实际资料应用中,反演结果与原始曲线对应结果基本一致,为利用流体体积模量Kf反演并进行储层预测和流体识别奠定了基础。

     

    Abstract: A three-term AVO approximation equation of fluid-bulk modulus Kf, bulk modulus μ and porosity ϕ is derived based on the four-term approximate equation of Kf-fm-ρ-ϕ proposed by Yin X Y et al. (2014) and the assumption of Zhang et al. (2014). Accuracy analysis and model testing show that:when the incident angle reaches 27°, the error of the reflection coefficient between the approximate equation and the Zoeppritz equation is 0.015, and the accuracy meets the inversion requirements. Furthermore, the errors of inversion result and the original curve are within the allowable range under conditions of noise and no noise, and the stability also meets the inversion requirements. Therefore, the AVO approximate equation based on Kf-μ-ϕ has certain feasibility under theoretical conditions. In the application of actual data, the inversion results are basically consistent with the corresponding results of the original curve, which lays the foundation for the inversion of the fluid volume modulus Kf and the reservoir prediction and fluid identification.

     

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