摘要
In this paper, the authors present a fault automatic tracking and identifying approach named orientation constraint ant colony algorithm (OCACA). The authors apply the proposed approach in actual coherence cube. Automatic tracking results with different parameters show the influence of the parameters. The processing results demonstrate that OCACA is an accurate and effective approach for fault automatic tracking and identification. And for noise reduction and fault continuity enhancement, OCACA obtains better performances than Petrel.