The new method of sandbody connectivity characterization for fluvial reservoir and its application in Bohai oilfield Available to Purchase

The precise sandbody connectivity of fluvial reservoir is still a challenging task. In this paper, combining the characteristics of the oilfield, we propose a sandbody connectivity characterization method by the integration of CEEMD-CSWT denoising technique and voxel density attribute. The new method prediction results are in good agreement with the drilling results. Compared with the traditional denoising method, CEEMD-CSWT method could eliminates most of the random noise while protecting the high-frequency effective components and weak energy effective signals in the original data, and has a good amplitude preservation effect. The voxel density attribute can reduce the interference of noise and the result is more accurate and effective in sandbody connectivity prediction. The prediction effect of this technology is higher than traditional methods and has the high drilling coincidence rate. The application shows that the proposed method can improve the accuracy of sandbody connectivity detection effectively. This study has certain reference significance for the prediction of sandbody connectivity.