Vector denoising method for multicomponent seismic data

A vector denoising method that removes noise while maintaining effective signal amplitudes for multicomponent seismic data from a seismic source recorded by a multicomponent geophone, comprising:

• obtaining wave vectors of the multicomponent seismic data by the multicomponent geophone, wherein the multicomponent seismic data includes a Z component, a R component, and a T component, wherein at least one wave vector of the wave vectors of the multicomponent seismic data comprises a composite vector having an effective signal wave vector, a ground roll wave vector and a random noise wave vector;
• calculating a first mean wave vector of the at least one wave vector of the multicomponent seismic data by applying a first moving window by a processor, performing a first median filtering of the first mean wave vector to obtain a true modulus of the ground roll wave vector, and subtracting the true modulus of the ground roll wave vector from the at least one wave vector of the multicomponent seismic data to obtain a vector time-series, and wherein the vector time-series includes the effective signal wave vector and the random noise wave vector, and the vector time-series is ground roll wave vector free;
• and
• performing a mean filtering of the vector time-series by using a second moving window to obtain a second mean wave vector by the processor, and performing a second median filtering of the second mean wave vector and performing a third median filtering of the second mean wave vector within a same seismic receiving line to suppress the random noise wave vector in the vector time-series,
• thereby obtaining a wave vector of a purified effective signal vector for reservoir prediction and fluid detection.