The application discloses a near-bit formation detection method based on while-drilling acoustic forward-looking, and belongs to the technical field of formation detection, and comprises the following steps: S1, acquiring a while-drilling acoustic
signal generated by
rock breaking of a
drill bit in a drilling process, performing time-
frequency analysis on the while-drilling acoustic
signal, and determining a while-drilling acoustic source feature in combination with theoretical analysis; S2, performing
independent component analysis on the while-drilling acoustic
signal, and combining with ensemble empirical mode
decomposition (CEEMD) and
wavelet transform to identify effective while-drilling acoustic signals from complex
background noise; and S3, establishing a geophysical model of a bad geological body containing a
lithology boundary surface, a fault
fracture zone, a
karst cave and a water-rich formation, and obtaining a propagation rule and characteristic parameters of the while-drilling acoustic signal in the model by using a time-domain finite difference numerical
simulation method. Through multi-
algorithm collaborative processing, the while-drilling acoustic signal with high signal-to-
noise ratio and obvious characteristics is extracted from the complex
background noise, and the reliability and accuracy of
signal processing are improved.