论文详情
地震DNA算法是一种新的层位自动提取算法,因其匹配出符合条件的地震特征较多,所以拾取到的地震层位连续性较差,且层位划分不够明显,很难区分所找到的地震波是否属于同一个地震层位。为此,尝试将聚类方法引入到地震DNA算法中,对地震DNA算法所找到的地震波进行分类,然后使用欧氏距离连接聚类好的点,并使用C3相干算法找出并屏蔽掉断层区域,使其具有更好的连续性和准确性。应用改进后的地震DNA算法对胜利油田某二维叠后地震数据进行测试,结果表明,该方法的追踪结果比改进前的结果连续性更好、准确性更高,验证了该方法的可行性和有效性。
DNA algorithm is a new method to extract seismic horizons automatically.However,the horizons it picks up have a weak continuity and unclear layer division because it matches too much seismic features that satisfy conditions.It is difficult to determine whether these seismic horizons belong to the same layer.Therefore,in this paper,we tried to introduce clustering method to seismic DNA algorithm.The seismic horizons extracted by seismic DNA algorithm were classified and the clustered points were linked using Euclidean distance.In addition,C3 coherent algorithm was applied to find and block fault areas in order to ensure a better continuity and accuracy.The proposed method has been evaluated using 2D post-stack seismic data from Shengli Oilfield and the results showed that it can achieve a higher accuracy of horizon tracking than previous methods,verifying the feasibility and availability of the proposed algorithm.
山东省优秀中青年科学家科研奖励基金计划项目(BS2014DX021)资助。