Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

被引:44
|
作者
Attwa, M. [1 ,2 ]
Guenther, T. [3 ]
机构
[1] Zagazig Univ, Dept Geol, Fac Sci, Zagazig 44519, Egypt
[2] Ankara Univ, Geophys Engn Dept, Fac Engn, TR-6200 Ankara, Turkey
[3] Leibniz Inst Appl Geophys LIAG, D-30655 Hannover, Germany
关键词
FREQUENCY ELECTRICAL SPECTRA; DOMAIN-INDUCED-POLARIZATION; COMPLEX CONDUCTIVITY; PETROPHYSICAL PROPERTIES; ESTIMATING PERMEABILITY; RELAXATION-TIME; RESISTIVITY; SURFACE; FIELD; SEDIMENTARY;
D O I
10.5194/hess-17-4079-2013
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Field and laboratory spectral induced polarization (SIP) measurements are integrated to characterize the hydrogeological conditions at the Schillerslage test site in Germany. The phase images are capable of monitoring thin peat layers within the sandy aquifers. However, the field results show limitations of decreasing resolution with depth. In comparison with the field inversion results, the SIP laboratory measurements show a certain shift in SIP response due to different compaction and sorting of the samples. The SIP data are analyzed to derive an empirical relationship for predicting the hydraulic conductivity (K). In particular, two significant but weak correlations between individual real resistivities (rho') and relaxation times (tau), based on a Debye decomposition (DD) model, with measured K are found for the upper groundwater aquifer. The maximum relaxation time (tau(max)) and logarithmically weighted average relaxation time (tau(lw)) show a better relation with K values than the median value tau(50). A combined power law relation between individual rho' and tau with K is developed with an expression of A . (rho')(B) . (tau(lw))(C), where A, B and C are determined using a least-squares fit between the measured and predicted K. The suggested approach with the calculated coefficients of the first aquifer is applied for the second. Results show good correlation with the measured K indicating that the derived relationship is superior to single phase angle models as Borner or Slater models.
引用
收藏
页码:4079 / 4094
页数:16
相关论文
共 50 条
  • [1] HYDRAULIC CONDUCTIVITY OF SHALLOW SANDY AQUIFERS - EFFECTS OF SEDIMENTOLOGIC AND DIAGENETIC DIFFERENCES
    UMA, KO
    LOEHNERT, EP
    ENVIRONMENTAL GEOLOGY, 1994, 23 (03): : 171 - 181
  • [2] Imaging hydraulic conductivity in near-surface aquifers by complementing cross-borehole induced polarization with hydraulic experiments
    Römhild, Lukas
    Fiandaca, Gianluca
    Hu, Linwei
    Meyer, Laura
    Bayer, Peter
    Advances in Water Resources, 2022, 170
  • [3] Imaging hydraulic conductivity in near-surface aquifers by complementing cross-borehole induced polarization with hydraulic experiments
    Roemhild, Lukas
    Fiandaca, Gianluca
    Hu, Linwei
    Meyer, Laura
    Bayer, Peter
    ADVANCES IN WATER RESOURCES, 2022, 170
  • [4] NEW STATISTICAL GRAIN-SIZE METHOD FOR EVALUATING THE HYDRAULIC CONDUCTIVITY OF SANDY AQUIFERS
    UMA, KO
    EGBOKA, BCE
    ONUOHA, KM
    JOURNAL OF HYDROLOGY, 1989, 108 (1-4) : 343 - 366
  • [5] Spectral Induced Polarization measurements on New Zealand sands - dependence on fluid conductivity
    Joseph, Sheen
    Ingham, Malcolm
    Gouws, Gideon
    NEAR SURFACE GEOPHYSICS, 2015, 13 (02) : 169 - 177
  • [6] A Numerical Prediction Model for Hydraulic Conductivity of Sandy Aquifers Based on Randomly Generated Pore Structures
    Yang, Bin
    Feng, Lufei
    Wang, Sen
    Wang, Yuhong
    Wang, Huajun
    ELECTRONIC JOURNAL OF GEOTECHNICAL ENGINEERING, 2016, 21 (09):
  • [7] A numerical prediction model for hydraulic conductivity of sandy aquifers based on randomly generated pore structures
    Wang, Huajun (huajunwang@126.com), 2016, E-Journal of Geotechnical Engineering (21):
  • [8] A Numerical Prediction Model for Hydraulic Conductivity of Sandy Aquifers Based on Randomly Generated Pore Structures
    Yang, Bin
    Feng, Lufei
    Wang, Sen
    Wang, Yuhong
    Wang, Huajun
    ELECTRONIC JOURNAL OF GEOTECHNICAL ENGINEERING, 2016, 21 (02): : 677 - 690
  • [9] Predicting saturated hydraulic conductivity in a sandy grassland using proximally sensed apparent electrical conductivity
    Rezaei, Meisam
    Saey, Timothy
    Seuntjens, Piet
    Joris, Ingeborg
    Boenne, Wesley
    Van Meirvenne, Marc
    Cornelis, Wim
    JOURNAL OF APPLIED GEOPHYSICS, 2016, 126 : 35 - 41
  • [10] Experimental investigations on laboratory samples regarding the connection of spectral induced polarization to heterogeneity of hydraulic conductivity
    Herold, Robert
    Beisembina, Gulmira
    Dietrich, Peter
    Boerner, Frank
    ENVIRONMENTAL EARTH SCIENCES, 2024, 83 (13)