scholarly journals Experimental Study on Characteristics of Reactance Dispersion of Water Bearing Coal

2020 ◽  
Author(s):  
Dongji Lei ◽  
Jian Li ◽  
Hui Meng ◽  
Yajuan Wang

Abstract As an emerging geophysical exploration method, complex resistivity method is a potential non-invasive one for evaluating hydrofracturing effect. Reactance X is an important parameter of complex resistivity method. Compared with the traditional parameter resistance R, reactance has advantages such as distinct dispersion characteristics, clear conduction mechanism and rich information. In this paper, reactance X of four kinds of coal sample with different water saturation was tested, their dispersion characteristics were analyzed, and their conductive mechanism was studied. The results show that, (1) the characteristic curve of reactance dispersion presents a three-stage law when the water saturation is low, and a two-stage law when the water saturation is high,to some extent, the water content of coal body and the effect of hydraulic fracturing are distinguished;(2) polarization is the cause of dispersion, in which low frequency is induced polarization, high frequency is dielectric polarization, and electromagnetic induction is the interference phenomenon in the frequency band of induced polarization; (3) spectrum extremum frequency point is sensitive to changed water saturation. Extremum points of different coal rank are concentrated in 100-1000Hz. This frequency band can serve as the dominant frequency band for evaluating coal seam water saturation. This paper gives new insight into the evaluation of coal seam hydrofracturing effect by complex resistivity method.

2020 ◽  
Vol 12 (1) ◽  
pp. 299-306
Author(s):  
Jiang Jia ◽  
Shizhen Ke ◽  
Junjian Li ◽  
Zhengming Kang ◽  
Xuerui Ma ◽  
...  

AbstractLow-frequency resistivity logging plays an important role in the field of petroleum exploration, but the complex resistivity spectrum of rock also contains a large amount of information about reservoir parameters. The complex resistivity spectra of 15 natural sandstone cores from western China, with different water saturations, were measured with an impedance analyzer. The pore space of each core was saturated with NaCl solution, and measurements were collected at a frequency range of 40–15 MHz. The results showed a linear relationship between the real resistivity at 1 kHz and the maximum values of imaginary resistivity for each core with different water saturations. The slopes of the linear best-fit lines had good linear relationships with the porosity and the permeability of cores. Based on this, a permeability estimation model was proposed and tested. In addition, the maxima of imaginary resistivity had power exponential relationships with the porosity and the water saturation of the cores. A saturation evaluation model based on the maxima of imaginary resistivity was established by imitating Archie’s formula. The new models were found to be feasible for determining the permeability and saturation of sandstone based on complex resistivity spectrum measurements. These models advance the application of complex resistivity spectrum in petrophysics.


Geophysics ◽  
1996 ◽  
Vol 61 (1) ◽  
pp. 66-73 ◽  
Author(s):  
Richard S. Smith ◽  
Jan Klein

Airborne induced‐polarization (IP) measurements can be obtained with standard time‐domain airborne electromagnetic (EM) equipment, but only in the limited circumstances when the ground is sufficiently resistive that the normal EM response is small and when the polarizability of the ground is sufficiently large that the IP response can dominate the EM response. Further, the dispersion in conductivity must be within the bandwidth of the EM system. One example of what is hypothesized to be IP effects are the negative transients observed on a GEOTEM® survey in the high arctic of Canada. The dispersion in conductivity required to explain the data is very large, but is not inconsistent with some laboratory measurements. Whether the dispersion is caused by an electrolytic or dielectric polarization is not clear from the limited ground follow‐up, but in either case the polarization can be considered to be induced by eddy currents associated with the EM response of the ground. If IP effects are the cause of the negative transients in the GEOTEM data, then the data can be used to estimate the polarizabilities in the area.


Geophysics ◽  
1977 ◽  
Vol 42 (1) ◽  
pp. 120-121 ◽  
Author(s):  
P. H. Nelson ◽  
G. D. Van Voorhis

In presenting a variety of induced polarization spectral data, Zonge and Wynn refer to a paper published earlier by us (Van Voorhis et al., 1973) which deals with the same topic. We feel Zonge and Wynn have misrepresented our measuring techniques, data, and conclusions in their references to our paper. Our principal objections center on three statements by the authors.


2011 ◽  
Vol 396-398 ◽  
pp. 115-118
Author(s):  
Xin Gong Tang ◽  
Xing Bing Xie ◽  
Liang Jun Yan

Complex resistivity (CR) is one of an electromagnetic method which plays an important role in the exploration of oil and gas, underground water as well as solid mineral resources in recent years. Nowadays China is under fast developing and there is still a big gap between the supply and demand of mineral resources. As an effective controlled source electromagnetic method, CR method can be easily used to judge the content of resources, determine the target reservoir and select a favorable drilling area. In this paper, an introduction to CR method and its application in copper mine exploration in west China is present. The result shows that CR is an effective electromagnetic method in the exploration of deep mineral resources.


Geophysics ◽  
2021 ◽  
pp. 1-35
Author(s):  
Siming He ◽  
Jian Guan ◽  
Yi Wang ◽  
Xiu Ji ◽  
Hui Wang

In electrical exploration techniques, an effective suppression method for Gaussian and impulsive random noise in spread spectrum induced polarization (SSIP) continues to be challenging for conventional denoising methods. Remnant noise influences the complex resistivity spectrum and damages the subsequent interpretation of geophysical surveys. We present a hybrid method based on a correlation function and complex resistivity, which introduces the correlation analyses between the transmitting source, the measured potential, and the injected current signal. According to the analyses, reliable results for complex resistivity spectra can be calculated, which can be further used for noise suppression. We apply the hybrid method to both numerical and field experiments to process measured SSIP data. Simulation tests show that the hybrid method not only suppresses the two types of noise but also improves the relative error of the complex resistivity spectrum. Field data processing shows that the hybrid method can minimize the standard deviation of the data and possess a greater ability to distinguish adjacent objects, which can improve the reliability of the data in subsequent processing and interpretation.


2019 ◽  
Vol 67 (5) ◽  
pp. 1379-1390
Author(s):  
Guangzhong Ji ◽  
Hui Li ◽  
Jiuchuan Wei ◽  
Sitong Yang

2013 ◽  
Vol 12 (1) ◽  
pp. vzj2012.0062 ◽  
Author(s):  
Yuxin Wu ◽  
Susan S. Hubbard ◽  
Craig Ulrich ◽  
Stan D. Wullschleger

1989 ◽  
Vol 20 (2) ◽  
pp. 111
Author(s):  
S.R. Jaggar ◽  
D.W. Emerson

Controlled laboratory experiments were run using a computer controlled Solartron (1250A) Frequency Response Analyser coupled to very high impedance amplifiers at low current densities (2 � 10?2 Am?2) to obtain complex resistivity spectra in the 10 mHz to 10 kHz range from leached quartz sand (37?63 �m diam.) and granulated sulphide (63?1000 �m diam.) mixtures in four electrode cells saturated with brackish (80 Om, 20�C) and fresh 100 Om) chloride electrolyte. The sulphide particles and the silica background medium grains were angular in shape; the ratio of sulphide to sand size varied from 2:1 (63 �m tests) to 10:1 (710?1000 �m tests). The effects of mineral type, volume percent, grainsize, electrolyte resistivity, grainsize mix, and mineral mix were studied by means of spectral plots over 6 frequency decades, real-imaginary plots, and Cole?Cole parameter ridge regression inversions with up to three dispersions using an additive procedure. Hilbert transform checks on real and imaginary data components were made to monitor measurement linearity. The main crushed minerals studied were galena and chalcopyrite; sphalerite, pyrite, pyrrhotite, and graphite were also used. The test minerals (except for graphite) were not stoichiometric as varying, generally minor, amounts of other minerals (sulphide and silicates) were present in and on the grains; the chalcopyrite contained about 50% pyrite as intergrowths. The sand medium alone gave a flat resistivity and zero-phase spectrum to 2 kHz and thereafter presented a rapidly increasing phase attributed to dielectric polarization. Qualitatively the results showed: a distinct dependence of the critical frequency on grainsize and salinity with phase peaks shifting to lower frequencies with increasing grainsize and with increasing solution resistivities; phase peaks increasing in value and definition with increasing mineralisation in the 1 to 10% volume range; mixing of sulphide granizes broadening the phase curves, increasing the maximum values and shifting the peak responses; and no discernable dependence of magnitude or position of the phase peak with mineral types and on mineral mixes showedcertain phase effects that require additional experimental investigation before possibly useful or diagnostic responses might be identified. In the complex impendance plane the data plotted as depressed arcs at low to medium frequencies and the initial parts of further arcs were observed sometimes at high frequencies, suggesting kinetics limited charge-transfer and/or double layer controls on the polarizable minerals' interfacial reactions, rather than Warburg diffusion effects, at low to medium frequencies, and dielectric polarization at high frequencies. Quantitatively the inverted Cole?Cole m (chargeability), t (time constant), c(frequency dependence) parameters showed: m correlating with volume % polarizable minerals in the various grainsize ranges; m independent of or showing a slight decrease with increasing grainsize; t values varying from 5.2 � 10?6 to 9.5 � 10?3 seconds and relating poorly to volume % polarizable mineral but correlating directly to grainsize; and c values varying from 0.5 to 1.0 with most values occurring between 0.6 and 0.9 and higher c values correlating with lower t values. It is considered that synthetic mineral sand experiments readily provide data that may be interpreted empirically to study various mineral polarization effects, to test theorectical models of polarization behaviour, and to augment the sparse experimental IP data base.


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