基于岩石物理模型的页岩气储层横波速度估算方法
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中国石化石油物探技术研究院

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P313.1

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国家科技攻关计划


Velocity Estimation Based on Rock-Physics Model in Shale Reservoir
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Sinopec Geophysical Research Institute

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    摘要:

    页岩的微观结构相对于常规储层更加复杂,目前大多数应用于估算横波速度的岩石物理模型仅适用于各向同性岩石。考虑页岩储层中粘土颗粒的定向分布和水平缝引起的各向异性,本文综合自相容近似(SCA)、微分等效介质模型(DEM)、Backus平均和Brown-Korringa方程,构建了一种适用于页岩的各向异性模型;然后将矿物组分、孔隙度和孔隙纵横比等代入到所建立的各向异性模型中,即可获得相应的横波速度。岩样测试数据和测井数据的计算结果表明,利用该模型估算页岩的横波速度与实测数据吻合得很好,与各向同性有效介质模型相比具有更高的精度。

    Abstract:

    The microstructure of shale is more complex than conventional reservoir, while most of rock physics models for estimating P-wave and S-wave velocity are only suited to isotropic rocks at present. In consideration of the preferred orientations of clay particles and bedding parallel cracks, an anisotropic rock physics model was presented, combining the self-consistent approximation (SCA), the differential effective medium (DEM), the Backus average and the Brown-Korringa equation, and then S-wave velocity could be obtained by substituting the mineral content, porosity and pore aspect ratio into the constructed rock model. Three widely used isotropic models (Kuster-Toksoz theory, SCA and Xu-White model) and the constructed rock physics model are used to calculate P-wave and S-wave velocity for the practical shale area. It is illustrated that higher predicted accuracy can be found by the constructed rock physics model capturing the effect of anisotropy.

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张克非,李呈呈. 基于岩石物理模型的页岩气储层横波速度估算方法[J]. 科学技术与工程, 2019, 19(11): .
Zhang Ke-fei, Li Cheng-cheng. Velocity Estimation Based on Rock-Physics Model in Shale Reservoir[J]. Science Technology and Engineering,2019,19(11).

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  • 收稿日期:2018-09-29
  • 最后修改日期:2019-01-28
  • 录用日期:2019-01-29
  • 在线发布日期: 2019-04-25
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