Abstract：Deconvolution for seismic data processing becomes increasingly perfect with the development of seismic data processing methods. people usually use pure-phase fiitering to make conversion from zero-phase wavelet to small-phase wavelet in processing vibroseis data;however，some troubles arise in processing Q-absorptive data because the method makes correlative wavelets become mixed phase wavelets and because such phenomenon gets serious with the increase of Q absorption, In view of such a problem,we put forward surface-consistent adaptive deconvolution for vibroseis data processing. This technique can be used to automatically compute surface consistent Q absorption and to model correlative wavelets with Q absorption. What is more，wavelet deconvolution can achieve high resolution and phase conversion. Theoretical experiment and practical processing show that this technique is an effective data deconvolution suitable to wide frequency-band and high resolution vibroseis explorations.
