<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJG</journal-id><journal-title-group><journal-title>Open Journal of Geology</journal-title></journal-title-group><issn pub-type="epub">2161-7570</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojg.2014.410038</article-id><article-id pub-id-type="publisher-id">OJG-50999</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Application of 3-D Parallel Electrical Technology Detecting the Water-Rich Areas
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>uan</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liquan</surname><given-names>Guo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>School of Earth and Environment, Anhui University of Science and Technology, Huainan, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>qulanzhai@126.com(UW)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>25</day><month>09</month><year>2014</year></pub-date><volume>04</volume><issue>10</issue><fpage>518</fpage><lpage>523</lpage><history><date date-type="received"><day>25</day>	<month>August</month>	<year>2014</year></date><date date-type="rev-recd"><day>20</day>	<month>September</month>	<year>2014</year>	</date><date date-type="accepted"><day>15</day>	<month>October</month>	<year>2014</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Coal working face is damaged more and more seriously by water below the coal face floor. Therefore, floor water detection is a must in the process of extraction. This article aims to introducing application and principle of the two-gateways parallel 3-D electrical technology and the arrangement of the observation system. The authors use this method to detect the water under the floor of a mine in north of Anhui. The results show that the two-gateways parallel 3-D electrical technology can accurately locate the water-rich areas, providing the basis for drilling drainage and grouting construction.
 
</p></abstract><kwd-group><kwd>The Two-Gateways Parallel 3-D Electrical Technology</kwd><kwd> Coal Face Floor</kwd><kwd> Water-Rich Areas</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Coal working face is threatened increasingly by water beneath the coal face floor along with the mining depth. So the water detection of working face is particularly important [<xref ref-type="bibr" rid="scirp.50999-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.50999-ref2">2</xref>] . Currently, the main methods of water detection in coal mining face are the transient electromagnetic method, the audio-frequency electrical penetration technique and the two-gateways parallel 3-D electrical technology [<xref ref-type="bibr" rid="scirp.50999-ref3">3</xref>] -[<xref ref-type="bibr" rid="scirp.50999-ref5">5</xref>] . Among them, the two-gateways parallel 3-D electrical technology is widely used due to its effective penetrability. Response features of water bearing anomalous body between the seepage field and the geoelectric field were obtained and were applied to establish the variation relationship between the water ponding boundary and the resistivity in order to delineate and analyze the water ponding scope in the goaf of the mine [<xref ref-type="bibr" rid="scirp.50999-ref6">6</xref>] . Based on the electrical property differences between water-rich area and normal strata, the capable resitivity images of water-rich area were analyzed in detail. In addition to the known data such as those of geology, water inflow of boreholes, grouting, the property and distribution ranger of water-rich could be well found [<xref ref-type="bibr" rid="scirp.50999-ref7">7</xref>] . This paper mainly uses the 3-D parallel electrical technology to detect the water under the floor of a mine in north of Anhui.</p></sec><sec id="s2"><title>2. The Principle of Detecting Method</title><sec id="s2_1"><title>2.1. The Two-Gateways Parallel 3-D Electrical Technology</title><p>The parallel electrical technology was first proposed by Anhui University of Science and Technology [<xref ref-type="bibr" rid="scirp.50999-ref8">8</xref>] . And it was verified in a large number of the models and field tests. This method achieved significant effect [<xref ref-type="bibr" rid="scirp.50999-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.50999-ref10">10</xref>] . The observation system of the two-gateways parallel 3-D electrical technology depends on the roadways. Usually electrical lines are laid along the air roadway (the roadway of F) and the conveyor roadway (the roadway of J) in the roadway floor. At the same time, the power supply electrode B is placed in the opposite lane corresponding (<xref ref-type="fig" rid="fig1">Figure 1</xref>), and plus 1 infinite electrode N. The parallel electrical instrument is used in data collection. It is applied to observe the changes of underground space electric field surrounding each electrode in the line. When one electrode is powered, the remaining electrodes simultaneously measure the potential changes of natural electric field, the first field and the second field. The multiple coverage greatly improves the detecting accuracy. When a station data acquisition is completed, back line is moved to the next station data acquisition while covering a certain area of the former station until the whole detection task is finished.</p></sec><sec id="s2_2"><title>2.2. Data Acquisition Technology</title><p>Depending on the different arrangements of electrodes, the data acquisition of the parallel electrical technology works in two ways: single point power field (AM) and opposite electric field power supply (ABM).</p><p>1) Operating mode of AM</p><p>In AM acquisition, the opposite electrode B is arranged in the position corresponding in the oppositional roadway. Each electrode in the line combining B pole supplies power once, at the same time the other electrodes in the line are collecting the electric field data. Through the professional software decoding, we can get the data of the double-pole device, the three-pole device and the composite profiling device in the resistivity profile method. The potential field it measures is a point electric field (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The method is suitable for long line detection task on account of its single point of power supply, fast data acquisition and greatly-improved working efficiency.</p><p>2) Operating mode of ABM</p><p>The observation system of ABM is similar to that of AM. The only difference is that ABM works in a way that two electrodes supply power, while the other electrodes collect data synchronically. Via the parallel elec-</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> The observation system of the two-gateways parallel 3-D electrical technology</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1210228x5.png"/></fig><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Distribution of AM voltage measurement</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1210228x6.png"/></fig><p>trical collection system, a measurement can achieve the effect of all kinds of four-pole device of high density electrical prospecting, which improves the collection efficiency highly, reduces the system error, and acquires plenty of data. Compared with the AM method, ABM takes longer to get the results but more precisely. The ABM method of data collection is a dual specific point source electric field (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p></sec><sec id="s2_3"><title>2.3. Three Dimensional Inversion</title><p>The data of the parallel electrical technology is inversion by the professional soft-ware AGI. The data collected by the two-gateways parallel 3-D electrical technology is decoded and extracted to getting different devices’ currents and potential data. Typically, the currents and potential data will be combined and used 3-D resistivity inversion. The general form of 3-D resistivity inversion problem is expressed as:</p><disp-formula id="scirp.50999-formula1477"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-1210228x7.png"  xlink:type="simple"/></disp-formula><p>In the equation: G is a Jacobi matrix; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x8.png" xlink:type="simple"/></inline-formula>is the difference between the observed data of d and the residual vector forward theoretical value of d<sub>0</sub>. For the three-dimensional problem, the model is divided into three dimensional grids, and the parameters of each grid cell are the conductivity values. At the same time the observation data of 3-D inversion is a measurement of the potential difference. Because of the large variation, logarithm is used to calibrate the inversion data and model parameters in order to ensure the stability of inversion. AGI inversion will provide the resistivity profile in the region, and analyzing the resistivity profile can locate the water-rich areas, which is the basis for the coal mine drainage and grouting engineering.</p></sec></sec><sec id="s3"><title>3. Detection Applications</title><sec id="s3_1"><title>3.1. General Situation of Working Face</title><p>The mine in the North-Anhui for the test, its 1018 main seam is 10 coal seam, which is in the middle of Shanxi Formation. The seam is 75.5 cm below the Al mudstones, 50.79 cm average above Taiyuan Formation first Limestone. Its floor thickness is 4.65 - 5.36 cm, 4.76 cm in average, variation coefficient γ = 24%, workability index K = 1, dip 5˚ - 15˚&#176; (average dip12˚). It is estimated that the floor is threaten by limestone water of coal mine floor, so the hydrogeology condition should be researched before the extraction. This operation detects the strata aquosity under the floor of working face using the two-gateways parallel 3-D electrical technology to determine the water-rich areas of coal face floor accurately, to guide drilling surveying, releasing water and grouting work, and to ensure the safety of the working face extraction.</p></sec><sec id="s3_2"><title>3.2. Analysis of Detection Results</title><p>The data of the two-gateways parallel 3-D electrical technology method are decoded by AGI inversion software to invert the resistivity profile (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The diagram indicates 6 low resistivity abnormal areas in the working</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Distribution of ABM voltage measurement</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1210228x9.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> The water detection result of 1018 working surface floor</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1210228x10.png"/></fig><p>face floor. The rest are all above 40<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x11.png" xlink:type="simple"/></inline-formula>. In the low resistivity areas, 4 stretch widely to the floor and face except that 1# and 2# are low and outskirt of roadways. 40 <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x12.png" xlink:type="simple"/></inline-formula> is the dividing line of high and low resistivity: 30 - 40 <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x13.png" xlink:type="simple"/></inline-formula> indicates water-bearing area; less than 30 <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x14.png" xlink:type="simple"/></inline-formula> indicates water-rich area. As a result, the low resistivity is a big threat to working floor extraction.</p></sec><sec id="s3_3"><title>3.3. Test Results and Analysis</title><p>To cope with the 6 low resistivity abnormal areas, mine workers implemented lots of drilling grouting, The water hole position, water yield, and grout amount of the detection area shows that achieves great effects.</p><p><xref ref-type="fig" rid="fig5">Figure 5</xref> is drilling water yield and grouting consumption statistics distribution map. The resistivity picture before grouting shows that the resistivity of abnormal area 1, 2, 3 is ρ<sub>s1</sub> = 35<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x15.png" xlink:type="simple"/></inline-formula>, ρ<sub>s2</sub> = 25<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x16.png" xlink:type="simple"/></inline-formula>, ρ<sub>s3</sub> = 25<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1210228x17.png" xlink:type="simple"/></inline-formula>respectively; the inflow of abnormal area 1, 2, 3 is Q<sub>i1</sub> = 14 m<sup>3</sup>/h, Q<sub>i2</sub> = 44 m<sup>3</sup>/h, Q<sub>i3</sub> = 10 m<sup>3</sup>/h respectively; and the grouting amount of abnormal area 1, 2, 3 is Q<sub>g1</sub> = 100 m<sup>3</sup>, Q<sub>g2</sub> = 600 m<sup>3</sup>, Q<sub>g3</sub> = 200 m<sup>3</sup> respectively. As can be seen, the areas of low resistivity before grouting are consistent with the results of the water inflow and the grouting. That is low resistivity abnormal area in the detection indicates rich water in the calcareous rock floor, so the grouting quantity should be high values too.</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>1) The two-gateway parallel 3-D electrical technology can accurately locate the water-rich areas, providing</p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> The distribution of drilling water yield and grouting consumption statistics. (a) Distribution of inflow water. (b) Distribution of grouting</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1210228x18.png"/></fig><p>the basis for drilling drainage and grouting construction.</p><p>2) By the two-gateway parallel 3-D detection technologies, grouting is indirectly evaluated thus preventing water inrush effectively in the extraction.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.50999-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Fu, M.R., Han, D.Y. and Zhang, P.S. (2013) A Comparative Testing Study of the Methods for Detecting the Floor-Water Hazard in the Working Face of a Mine. Geophysical and Geochemical Exploration, 37, 1067-1070.</mixed-citation></ref><ref id="scirp.50999-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Fu, M.R., Zhang, P.S. and Wang, D.S. 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