A RANDOM SHOOTING-TIME GENERATOR USING VIBRATION SENSING AND GPS TIMING FOR HIGH PRODUCTIVITY BLENDING ACQUISITION

摘要

Seismic exploration is currently the most economical and effective method forexploring underground mineral resources. Currently, the distribution of undergroundresources with shallow burial, simple structure, and good reservoir performance has beenbasically grasped, however, for those underground resources with deeper burials andmore complex structures, high-precision seismic exploration methods still need to beapplied to obtain a clearer understanding. High productivity blending acquisition is a newexploration method that can effectively shorten the acquisition period, reduce acquisitioncost, and enhance data quality. In addition, the random degree of source starting willdirectly affect the acquired data quality. In this paper, we propose a novel randomshooting-time generation algorithm for seismic exploration. First, local clock calibrationand GPS time synchronisation in a fixed time interval are carried out using the GPStiming technology and the voltage-frequency linear relationship of the voltage-controlledcrystal oscillator within a shorter period. The expected shooting-time is then calculatedbased on the information of the source location, ready order, and time-distance ruleparameters. Finally, the millisecond time of a random shooting-time within a specifiedwindow 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 bythe proposed algorithm has the characteristics of numerical size, controllable range, andstrong randomness, which is closer to the actual needs of industrial applications.