Scattering multi-wave advanced detection method based on roadway vertical virtual measuring line

Abstract

The invention discloses a scattering multi-wave advanced detection method based on a roadway vertical virtual measuring line, which comprises the following steps: firstly, arranging a row of three-component detectors, then arranging seismic sources at the midpoints of the adjacent detectors, then sequentially exciting the seismic sources, and at the moment, respectively receiving seismic wave signals of each seismic source by a plurality of detectors; determining the position of the virtual measuring line and the imaging range of the vertical virtual measuring line; setting an equivalent self-excitation and self-receiving point E, and calculating to obtain an isochronous offset he; performing polarization analysis on the three-component signal of the detector to obtain a polarization filtering function; performing vector filtering on the signal by adopting the function to obtain different types of equivalent scattered wave signals of each common scattering point in an imaging area, andforming a common scattering point gather by combining with an isochronous offset; performing speed analysis on the equivalent scattered wave signals of each common scattering point gather to obtain azero offset record of each gather; and finally, rearranging each zero offset record to form different types of scattered wave imaging profiles based on the vertical virtual measuring line.

Description

technical field [0001] The invention relates to a mine roadway advanced detection method, in particular to a scattering multi-wave advanced detection method based on the vertical virtual survey line of the roadway. Background technique [0002] Roadway excavation is one of the key stages of coal mine production, and it is also a stage where safety accidents are prone to and frequently occur, and 76% of serious accidents in coal mines occur here. Therefore, accurate detection of abnormal geological structures in front of the roadway is an inevitable requirement to ensure safe production in coal mines. Therefore, how to further improve the accuracy of advanced detection of roadway structures has become a realistic demand goal pursued by industry colleagues. [0003] Structural advance detection usually uses the arrangement of seismic sources (explosives, sledgehammers, etc.) and receiving systems (various three-component geophones) in the roadway, and the seismic waves are sti...

AI Technical Summary

Problems solved by technology

However, under the special geological conditions of mines, complex and irregular small-scale geological anomalies, such as small faults, collapse columns, etc., are often faced. Such geological anomalies usually generate abundant scattered waves and are difficult to form obvious reflections. Waves, the scattered waves derived from the Huygens-Fresnel principle cover all types of waves, which are more suitable for the detection of small-scale complex and uneven mine geological structures than reflected waves; at the same time, the acquisition environment of complex roadways and narrow spaces (coal The height and width of the roadway section are usually 3-5m), and the depth of the explosive-induced borehole is only 1.5-2m, resulting in a very small lateral offset perpendicular to the advance detection direction of the roadway, and the collected wave field signals are far from complete; finally, In the three-dimensional space of the roadway, the aliasing of different types of seismic waves in different directions will cause imaging artifacts and limit the accuracy of advanced detection

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