The invention relates to a method for detecting a
coal seam interface while drilling, relates to the technical field of
geological exploration, overcomes the limitation of a single
physical field by using multi-
modal fusion of electromagnetic
waves, sound
waves and gamma rays, remarkably improves the detection precision, greatly reduces the
identification error of a thin
coal seam compared with a traditional method, and improves the identification success rate of a complex structural region (fault and
dirt band). Preliminary response within 1s is realized through underground edge calculation, decision
lag is compressed to 1.5 s through ground cooperative
processing, and leap of data real-time performance and predictive capacity is realized; the front 0.5-1.5 m prediction function gains time for track adjustment, and the risk of penetrating out of the
coal seam is reduced. The multi-sensor redundancy design still keeps the
signal-to-
noise ratio not less than 20dB in a strong
noise environment, the detection success rate is greatly improved when mud invasion is serious, and the environmental adaptability is high. The coal seam drilling rate is increased, invalid footage is reduced, the single well comprehensive cost is reduced, and
economic benefits are remarkably improved.