Seismic data frequency increasing method based on multi-order calculus fusion

The invention relates to a seismic data frequency extraction method based on multi-order calculus fusion, which can improve the understanding of low-frequency and high-frequency components by performing integration and differentiation on seismic data, fully excavate the frequency information of original seismic data, analyze and understand the integral data of the seismic data and different-order differential data to highlight the energy of different frequency bands, and improve the frequency extraction efficiency of the seismic data. The main frequency band and the effective frequency band deviate along with the original data, the integral data and the differential data of different orders, and the target function is designed, so that the fused seismic data is closest to the target data, high-frequency, medium-frequency and low-frequency rich broadband seismic data can be obtained through solving, and the purpose of improving the seismic data resolution is achieved. According to the seismic data frequency in