A COMPARISON OF THE VARIOUS PARAMETERS EMPLOYED IN THE VARIABLE‐FREQUENCY INDUCED‐POLARIZATION METHOD

Geophysics ◽  
1964 ◽  
Vol 29 (3) ◽  
pp. 425-433 ◽  
Author(s):  
Philip G. Hallof
Keyword(s):  
Induced Polarization ◽  
Frequency Effect ◽  
Variable Frequency ◽  
Transient Method ◽  
Polarization Method ◽  
Applied Current ◽  
Frequency Method ◽  
Pulse Transient Method ◽  
Factor Data ◽  
The Time Domain

The increased use of the induced‐polarization method in recent years has resulted in two methods of measurement. The measurements in the frequency domain (variable‐frequency method) rely on changes in the apparent resistivities measured as the frequency of the applied current is varied. The measurement in the time domain (pulse‐transient method) detects transients in the measured potentials when the applied current is interrupted. The “chargeability” is the parameter used in the pulse‐transient method, while both the “frequency effect” and the normalized parameter “metal factor” are used in the variable‐frequency method. The most useful parameter would be the one which best indicates the amount of metallic mineralization present. Eight sets of field results from variable‐frequency field surveys are shown. The cases are shown in pairs; in each pair, the geometry of the source is much the same. By comparing the resistivity, the frequency effect (chargeability), and metal‐factor data with the amount of mineralization indicated by the drilling results, the usefulness of these parameters can be evaluated.

ON INDUCED ELECTRICAL POLARIZATION AND GROUNDWATER

Geophysics ◽  
1968 ◽  
Vol 33 (5) ◽  
pp. 805-821 ◽  
Author(s):  
René Bodmer ◽  
S. H. Ward ◽  
H. F. Morrison
Keyword(s):  
Induced Polarization ◽  
Unconsolidated Sediments ◽  
Frequency Effect ◽  
Polarization Method ◽  
Near Surface ◽  
Frequency Effects ◽  
Santa Clara County ◽  
Potential Recharge

Clay horizons and other clay‐bearing unconsolidated sediments are potential sources of induced‐polarization anomalies. If such anomalies may be detected above system noise, the induced‐polarization method may be of value for in‐situ classification of unconsolidated sediments encountered in hydrological projects. One such project exists in Santa Clara County where near‐surface unconsolidated sediments are frequently considered as potential recharge areas. Of four areas surveyed with induced‐polarization apparatus in Santa Clara County, only two yielded significant frequency‐effect anomalies, and in each of these two the frequency effects were of the order of 3 percent. These anomalous frequency effects may be related to clayey gravels. The dipole‐dipole array, with spreads of 10 ft and 20 ft, was typically used in the study.

scholarly journals An overview of the spectral induced polarization method for near-surface applications

2012 ◽  
Vol 10 (6) ◽  
pp. 453-468 ◽  
Author(s):  
Andreas Kemna ◽  
Andrew Binley ◽  
Giorgio Cassiani ◽  
Ernst Niederleithinger ◽  
André Revil ◽  
...  
Keyword(s):  
Induced Polarization ◽  
Polarization Method ◽  
Near Surface ◽  
Spectral Induced Polarization

scholarly journals An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data

2021 ◽  
Vol 28 (2) ◽  
pp. 247-256
Author(s):  
Siming He ◽  
Jian Guan ◽  
Xiu Ji ◽  
Hang Xu ◽  
Yi Wang
Keyword(s):  
Data Processing ◽  
Spread Spectrum ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Induced Polarization ◽  
High Resistivity ◽  
Observation System ◽  
Pseudorandom Sequence ◽  
Identification Algorithm ◽  
The Time Domain

Abstract. In spread spectrum induced polarization (SSIP) data processing, attenuation of background noise from the observed data is the essential step that improves the signal-to-noise ratio (SNR) of SSIP data. The time-domain spectral induced polarization based on pseudorandom sequence (TSIP) algorithm has been proposed to improve the SNR of these data. However, signal processing in background noise is still a challenging problem. We propose an enhanced correlation identification (ECI) algorithm to attenuate the background noise. In this algorithm, the cross-correlation matching method is helpful for the extraction of useful components of the raw SSIP data and suppression of background noise. Then the frequency-domain IP (FDIP) method is used for extracting the frequency response of the observation system. Experiments on both synthetic and real SSIP data show that the ECI algorithm will not only suppress the background noise but also better preserve the valid information of the raw SSIP data to display the actual location and shape of adjacent high-resistivity anomalies, which can improve subsequent steps in SSIP data processing and imaging.

scholarly journals The Forward Modeling for Surface-borehole Observation Responses of Polarized Target

2021 ◽  
Vol 2078 (1) ◽  
pp. 012035
Author(s):  
Qingxin Meng ◽  
Zhigang Wang ◽  
Yao Lu ◽  
Guoyuan Hang
Keyword(s):  
Time Spectrum ◽  
Induced Polarization ◽  
Polarization Method ◽  
Geoelectric Model ◽  
Polarized Target ◽  
Similar Work ◽  
Resource Exploration ◽  
Different Depths ◽  
Surface Borehole ◽  
Main Change

Abstract Surface-hole induced polarization method is a typical deep resource exploration technology, which plays an important role in the mineral survey. The traditional surface-hole induced polarization method is mainly to observe a single polarized secondary field. At present, the time spectrum observation of polarization fields is becoming more and more popular, which greatly enriches the interpretation technology of induced polarization data. In this work, the time spectrum induced polarization method is expounded, the decay polarization fields were numerical calculated and analyzed for the typical 2-dimensional geoelectric model. The results show that for a single polarized target, the time spectrum obtained from different azimuth observation responses are basically the same, which can effectively reflect the time-varying characteristics of the polarized fields. The observation responses of polarized target at different depths can still reflect the time spectrum of decay fields. The main change of the observed response of the polarized target closer to the borehole is the response amplitude. The conclusions and simulations of this study can provide working mode for relevant research and reference for similar work.

scholarly journals Application of Spectral Induced Polarization Method for Skarn Metallic Deposits Exploration

2016 ◽  
Vol 19 (4) ◽  
pp. 212-219
Author(s):  
Samgyu Park ◽  
Seung Wook Shin ◽  
Jeong-Sul Son ◽  
Seong-Jun Cho
Keyword(s):  
Induced Polarization ◽  
Polarization Method ◽  
Spectral Induced Polarization
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