首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Quantitative analysis of water-content estimation errors using ground-penetrating radar data and a low-loss approximation
【24h】

Quantitative analysis of water-content estimation errors using ground-penetrating radar data and a low-loss approximation

机译:利用探地雷达数据和低损耗近似值对含水量估计误差进行定量分析

获取原文
获取原文并翻译 | 示例
           

摘要

Expressions are derived to quantify the error when estimating permittivity that results from using the low-loss approximation under lossy conditions and to examine the repercussions on estimating water content theta. Values are computed under a range of porosity, clay-content, water-quality, and frequency conditions. Although in most cases the error is negligible, it can be significant for some hydrogeophysical applications involving crosshole measurements or low-frequency surface ground-penetrating radar (GPR). For instance, when the loss tangent tan delta equals 0.5, corresponding to an effective conductivity of 30 mS/m, a dielectric constantof 11, and a frequency of 100 MHz, the relative error on dielectric permittivity is approximately 6%. If the conductivity doubles or the frequency is halved, the loss tangent doubles but the error grows to 21%. In addition, considering a situation where the porosity is 20% and tan delta = 0.5, the use of the low-loss approximation leads to a 10% deviation from theta. In the context of water-content estimation, we therefore suggest to perform attenuation tomography, in addition to velocity tomography for crosshole data, or estimate the quality factor Q for surface GPR data to compute the loss tangent over the probed area. If proven necessary, the parameters sought can then be determined more accurately using a lossy formulation. We also propose to supplement GPR measurements with electrical-resistivity tomography to constrain the borehole GPR amplitude data-processing steps required by attenuation tomography or to complement the characterization of the survey area and improve the knowledge brought by Q estimates alone.
机译:推导表达式,以量化在有损条件下使用低损耗近似法估算介电常数时的误差,并检查对估算水含量θ的影响。数值是在一定范围的孔隙度,粘土含量,水质和频率条件下计算的。尽管在大多数情况下该误差可以忽略不计,但对于某些涉及跨孔测量或低频地面穿透雷达(GPR)的水文地球物理应用而言,该误差可能非常重要。例如,当损耗角正切tan delta等于0.5时(对应于30 mS / m的有效电导率,11的介电常数和100 MHz的频率),介电常数的相对误差约为6%。如果电导率加倍或频率减半,则损耗角正切值会加倍,但误差会增加到21%。此外,考虑到孔隙率为20%且tanδ= 0.5的情况,使用低损耗近似值会导致与theta的偏差为10%。因此,在含水量估算的背景下,我们建议除了对孔眼数据进行速度层析成像外,还应进行衰减层析成像,或对表面GPR数据估算品质因数Q以计算所探测区域的损耗角正切。如果证明有必要,则可以使用有损公式来更精确地确定所需的参数。我们还建议用电阻层析成像技术来补充GPR测量,以约束衰减层析成像所需要的井眼GPR振幅数据处理步骤,或者补充调查区域的特征,并改善仅由Q估计带来的知识。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号