| In the pre-mining process, less geological data exited and coal mining confused inthe integrated coal mine. Different sections appeared different sizes and shapes of goaf.These water-filled phenomenon likely existed, and in the roadway at different depthsseam mining process exsited adverse geological collapse column, hydraulicconductivity and other faults at the same time. For many anomalies, how to findprevention and exclusion is quite important. Geophysical methods in the roadway aheadof probing for various causes mine water inrush detection mechanism has a uniqueadvantage when compared with only drilling exploration. The advanced detection in awide range of applications is famous because it’s easy to operate and carry. But the mostcritical issue is how to improve the detection accuracy which is the main proposition forthe quest of scholars.This article presents a method for improving the detection accuracy. Collected andanalysed the integrated coal geological and hydrological data, created a data file andcalculated the important parameters affecting the formation. Established a geologicalmodel by using ansys finite element method to obtain the resistivity and potentialchanges in the graph, analysed the graphs drawn by the DC method to improve thenumber of electrodes and electrode layout on the way to improve detection accuracy.Electrode obtained by theoretical derivation formula relations when the emitter and thepolar distance reached an agreement can improve the detection accuracy. Reference tothe high-density resistivity method, checking the collected data correction, excludingexternal factors and error points is for obtaining more accurate data. Using differentdetection methods of3-point-3-electrode and7-electrode detect the same area, the7-electrode detection accuracy is more accurate by chart data interpretation comparison.It is obvious that this method improves the detection accuracy significantly bycomparing interpretation data, geological materials and drilling data. |
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