Abstract: Seismic exploration faces many challenges, such as the uncertainty and multiple solutions of seismic results, the contradiction between short period and high expectation, the contradiction between high productivity and low signal-to-noise ratio, etc, which need to be solved urgently. Among them, the development of broadband acquisition has become the basis for broadening the bandwidth and improving the resolution ability. All-digital high-density 3D seismic exploration in coal mining area to improve the bandwidth and high resolution in seismic exploration has made obvious effect, the digital geophone single point reception and high density sampling way are used to achieve the wide azimuth seismic exploration, small surface and high folds, so in the process of seismic geophones for field data acquisition, the most critical acquisition front-end equipment, that its performance is good or bad, and collected data quality fit and unfit is directly related to the subsequent processing and interpretation. In order to compare the digital geophones and simulate the actual collection rate of detector, and to explore the field actual data acquisition of the difference between digital and analog detector performance, this paper used the low, medium and high frequencies of different analog detectors, single point of digital geophones with indoor six kinds of digital geophone array, the experiment was carried out, for the seismic records of different kinds of detectors, the frequency spectrum and the signal-to-noise ratio were analysis, it was found that the seismic signal frequency width and SNR of the digital geophones were superior to those of the analog detectors, and after the combination the bandwidth and the signal-to-noise ratio of the digital geophone were enlarged; In the analog geophones of low, medium and high natural frequency, the frequency width and the signal-to-noise ratio of the low-frequency analog geophone was better than that of the middle-high frequency analog geophones. In the case of high-density collection, when the stacking reaches a certain number, the signal-to-noise ratio of the seismic profiles does not change much, so the appropriate stacking times can be selected according to the signal of target layer of different depth.