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Resistivity and induced polarization inversion and resolution at low contrasts.

机译:低对比度时的电阻率和感应极化反转和分辨率。

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摘要

By computing only the diagonal terms of the volume integral equation forward solution of the three-dimensional (3-D) dc resistivity/induced polarization problem, I have achieved a fast forward solution that is accurate at low to moderate resistivity contrasts. The speed and accuracy of the solution make it practical for use in two-dimensional (2-D) or three-dimensional inverse algorithms. By using a 3-D forward solution, but constraining the resistivities and polarizabilities along any row of cells in the strike direction to be held constant, I effect a fast 2-D resistivity inversion that contains end corrections. Because the low-contrast solution is inaccurate for cells near the electrodes, I employ a full solution to compute the response of the near surface. This response is stored and used in the resistivity inversion. Once an adequate estimated resistivity model has been found, derivatives from this model are used with Seigel's formula to compute the inverse solution to the linear polarizability problem.; I used the solution to examine variations in inversion for the different arrays. I found that for a particular structure, the estimated resistivity and polarizability models obtained from inversion of the dipole-dipole data were very similar to the pole-dipole estimated models. If pole-pole data contain even a fraction of a percent of noise, the transformation of such data through superposition to equivalent data of other array types is virtually impossible.; I examine the resolution of three common array types: the dipole-dipole, pole-dipole, and pole-pole. The resolution of the dipole-dipole array attenuates more rapidly than that of the pole-pole or pole-dipole arrays. Although the shallow resolution of the pole-pole array is lower than that of the dipole-dipole array, the falloff in resolution with depth is much more gradual.
机译:通过仅计算三维(3-D)直流电阻率/感应极化问题的体积积分方程正解的对角项,我获得了一种快速正解,在低至中等电阻率对比度下仍很精确。该解决方案的速度和准确性使其可用于二维(2-D)或三维逆算法。通过使用3-D正向解,但是将沿走向方向的任何单元格上的电阻率和极化率约束为恒定,我实现了包含端点校正的快速2-D电阻率反演。由于低对比度解决方案对于电极附近的细胞不准确,因此我采用了完整的解决方案来计算近表面的响应。该响应被存储并用于电阻率反演。一旦找到了足够的估计电阻率模型,就可以使用该模型的导数和塞格尔公式来计算线性极化率问题的逆解。我使用该解决方案来检查不同数组的反转变化。我发现对于特定的结构,从偶极子-偶极子数据反演获得的估计电阻率和极化率模型与极子-偶极子估计模型非常相似。如果极极数据只包含百分之一的噪声,那么通过叠加到其他阵列类型的等效数据的转换就几乎不可能。我研究了三种常见阵列类型的分辨率:偶极-偶极,极-偶极和极-极。偶极-偶极阵列的分辨率比极-极或极-偶极阵列的分辨率衰减更快。尽管极-极阵列的浅分辨率低于偶极-偶极阵列的分辨率,但分辨率随深度的下降要逐步得多。

著录项

  • 作者

    Beard, Les Paul.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Geophysics.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

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