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首页> 外文期刊>Journal of Seismic Exploration >ESTIMATION OF THE INTERNAL STRUCTURE AND ANISOTROPY OF SHALES FROM BOREHOLE DATA
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ESTIMATION OF THE INTERNAL STRUCTURE AND ANISOTROPY OF SHALES FROM BOREHOLE DATA

机译:从钻孔数据估算页岩的内部结构和各向异性

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Johansen, T.A., Jakobsen, M. and Ruud, B.O., 2002. Estimation of the internal structure and anisotropy of shales from borehole data. Journal of Seismic Exploration, 11: 363-381. A strategy for estimating the grain scale alignment properties and .anisotropy of shales on the decimeter scale from borehole data is presented. The method is based on a rock physics model which takes into account the effects of rock composition and texture to the acoustic properties. The shale is considered as an aggregate of so-called building blocks (regions of fully aligned clay platelets and pores), having an axial symmetric orientation distribution, in which inclusions of isolated (spherical) silt particles are embedded. The internal orientation properties are estimated from the vertical stiffnesses of the shale aggregate. The vertical stiffnesses are obtained from the density and P- and S-wave velocity data adjusted for the effects due to presence of silt. To do the inversion the properties of the building blocks have to be known. These are predicted from the composition data assuming a fixed shape of the clay platelets. Tests have been performed on both synthetic data and on borehole data. The choice of stiffness parameters for the clay-minerals is seen to influence on the inversion results; the stiffer the clay-minerals are, the stronger is the predicted alignment and anisotropy. The examples emphasize that the physical properties of the clay-minerals seem to play an important role for the estimation of the large scale anisotropic properties.
机译:T.A. Johansen,M。Jakobsen和B.O. Ruud,2002年。根据钻孔数据估算页岩的内部结构和各向异性。地震勘探杂志,11:363-381。提出了一种根据钻孔数据估算分米尺度上的页岩晶粒取向特性和各向异性的策略。该方法基于岩石物理模型,该模型考虑了岩石组成和质地对声学特性的影响。页岩被认为是具有轴向对称取向分布的所谓构造块(粘土和孔隙完全对齐的区域)的集合体,其中包裹着孤立的(球形)粉砂颗粒。内部定向特性是根据页岩骨料的垂直刚度估算的。垂直刚度是从密度和P波和S波速度数据中获得的,这些数据针对因淤泥的存在而影响进行了调整。为了进行反演,必须知道构造块的属性。这些是根据组成数据预测的,假设粘土薄片的形状固定。已对合成数据和井眼数据进行了测试。可以看出,粘土矿物的刚度参数选择会影响反演结果。粘土矿物越硬,预测的排列和各向异性就越强。实例强调,粘土矿物的物理性质似乎在估计大规模各向异性方面起着重要作用。

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