Abstract：Thin reservoirs with the thickness less than that of seismic tuning cannot be identified on seismic data due to the limit of the seismic bandwidth. A spectral inversion based on simulated annealing is put forward in this paper to widen seismic bandwidth for thin reservoir identification. According to the limit of thin layer frequent theory, we firstly process seismic data with short-time Fourier transform to gain input data of spectral inversion. And then we carry out a spectral inversion with simulated annealing. The method produces functions depend on the temperature Cauchy distribution, which can search in wide range at high temperature and search near the current model only at low temperature. Both the simulated annealing process and the sampling process are improved, and the memory function is increased. The efficiency and accuracy of the simulated annealing algorithm are also improved. Widening seismic bandwidth and Breaking through the resolution limit of Widness model, the proposed method depicts clearly tiny geological targets and their internal features. Tests on theoretical model and real seismic data verify the feasibility of the proposed method.
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