The effect of power lines on time-domain airborne electromagnetic data

被引:0
|
作者
Kang, Seogi [1 ]
Dewar, Noah [1 ]
Knight, Rosemary [1 ]
机构
[1] Stanford Univ, 397 Panama Mall, Stanford, CA 94305 USA
关键词
TRANSIENT; RESISTIVITY; SIMULATION;
D O I
10.1190/GEO2020-0089.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The acquisition of airborne electromagnetic (AEM) data co-located with water well data provides an essential data set for constructing an accurate rock-physics relationship between resistivity from AEM and lithology from wells. Results from an AEM survey in Butte and Glenn Counties, California, USA, where 41 water wells are located within 100 m of the AEM flight lines, provide a unique opportunity to investigate the effect of water wells on AEM data. Based on systematic numerical analyses and examination of the field data, we find that the only noise source related to the wells that affects the AEM signals in our study area is the power lines; the effect of the steel casings in the study area is negligible. Our numerical simulations yield two important findings: (1) the effect of the power line is mainly dependent upon the resistivity of the ground pathway between the base of the power-line poles, and (2) for the resistivity structure in the study area, when the ground contact resistance is sufficiently low, the effect of the power line will be observed in the AEM data until there is a separation distance of 174 m from the power line; the total power-line percentage effect less than 3% has been considered to be negligible. However, we find that, in the field data, an average separation distance between the power line and high-quality AEM data (i.e., no impact from the power lines) is only 60% of this predicted distance. We attribute this to the high ground contact resistance caused by degradation of the grounded electrodes located at the bottom of the power-line poles. For our 41 wells, after removing any soundings contaminated by power-line noise, we are left with high-quality soundings located 0-160 m from the water wells, with an average distance of 77 m.
引用
收藏
页码:E123 / E141
页数:19
相关论文
共 50 条
  • [21] SIMPLE INVERSION OF TIME-DOMAIN ELECTROMAGNETIC DATA
    BARNETT, CT
    GEOPHYSICS, 1984, 49 (07) : 925 - 933
  • [22] DIRECT INVERSION OF TIME-DOMAIN ELECTROMAGNETIC DATA
    NEKUT, AG
    GEOPHYSICS, 1987, 52 (10) : 1431 - 1435
  • [23] PC-based artificial neural network inversion for airborne time-domain electromagnetic data
    Zhu Kai-Guang
    Ma Ming-Yao
    Che Hong-Wei
    Yang Er-Wei
    Ji Yan-Ju
    Yu Sheng-Bao
    Lin Jun
    APPLIED GEOPHYSICS, 2012, 9 (01) : 1 - 8
  • [24] A novel trans-dimensional Bayesian inversion strategy for airborne time-domain electromagnetic data
    Yu, Xiaodong
    Yu, Xi
    Wang, Xuben
    Lu, Congde
    Zhang, Peng
    Chen, Bin
    JOURNAL OF APPLIED GEOPHYSICS, 2022, 199
  • [25] Three-dimensional inversion of airborne time-domain electromagnetic data with applications to a porphyry deposit
    Yang, Dikun
    Oldenburg, Douglas W.
    GEOPHYSICS, 2012, 77 (02) : B23 - B34
  • [26] Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data
    Asif, Muhammad Rizwan
    Foged, Nikolaj
    Maurya, Pradip Kumar
    Grombacher, Denys James
    Christiansen, Anders Vest
    Auken, Esben
    Larsen, Jakob Juul
    GEOPHYSICS, 2022, 87 (04) : E177 - E187
  • [27] PC-based artificial neural network inversion for airborne time-domain electromagnetic data
    Kai-Guang Zhu
    Ming-Yao Ma
    Hong-Wei Che
    Er-Wei Yang
    Yan-Ju Ji
    Sheng-Bao Yu
    Jun Lin
    Applied Geophysics, 2012, 9 : 1 - 8
  • [28] An invernsion scheme with lateral segmented-combined constraints for time-domain airborne electromagnetic data
    Lin X.
    Lu C.
    Zhong B.
    Fan C.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2019, 54 (06): : 1376 - 1382
  • [29] Time-domain denoising of time-frequency electromagnetic data
    Zhang, Bi-Ming
    Dai, Shi-Kun
    Jiang, Qi-Yun
    Yan, Jian
    Li, Guang
    APPLIED GEOPHYSICS, 2019, 16 (03) : 378 - 393
  • [30] Time-domain model for multiconductor power transmission lines
    Wilcox, DJ
    Condon, M
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1998, 145 (04) : 473 - 479