Abstract：Spectral inversion allows us to effectively identify thin reservoirs below seismic tuning thickness. However conventional spectral inversion methods which use only seismic data obtain usually unstable reflectivity. In this paper, we propose a geostatistical spectral inversion to solve this kind of problem. Based on Bayesian theory, we convert logging data into geostatistical information, and use it in spectral inversion process as a priori information. Since this method utilizes both seismic and logging data, so the prediction is more reliable. Tests on synthetic data show that the proposed inversion method can get high resolution and more stable results. The method has been successfully applied in Bohai Sea, and prediction results have been confirmed by several drilled wells, which reduce effectively exploration and development risks.
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