A random shooting-time generator using vibration sensing and GPS timing for high productivity blending acquisition
Gan, Z.Q., Sun, X.E.and Wei, J., 2022. A random shooting-time generator using vibration sensing and GPS timing for high productivity blending acquisition. Journal of Seismic Exploration, 31: 305-323. Seismic exploration is currently the most economical and effective method for exploring underground mineral resources. Currently, the distribution of underground resources with shallow burial, simple structure, and good reservoir performance has been basically grasped, however, for those underground resources with deeper burials and more complex structures, high-precision seismic exploration methods still need to be applied to obtain a clearer understanding. High productivity blending acquisition is a new exploration method that can effectively shorten the acquisition period, reduce acquisition cost, and enhance data quality. In addition, the random degree of source starting will directly affect the acquired data quality. In this paper, we propose a novel random shooting-time generation algorithm for seismic exploration. First, local clock calibration and GPS time synchronisation in a fixed time interval are carried out using the GPS timing technology and the voltage-frequency linear relationship of the voltage-controlled crystal oscillator within a shorter period. The expected shooting-time is then calculated based on the information of the source location, ready order, and time-distance rule parameters. Finally, the millisecond time of a random shooting-time within a specified window is generated using the real-time vibration sensing data to ensure randomness. The test solution shows that the dithered value of the source shooting-time generated by the proposed algorithm has the characteristics of numerical size, controllable range, and strong randomness, which is closer to the actual needs of industrial applications.
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