属性融合技术在微小断裂识别中的应用

Minor fault identification with seismic multi-attribute fusion

地震属性类型已增至上百种,如何从众多属性中选取对研究目标有效的地震属性至关重要。同时,随着高密度宽方位采集处理技术的不断发展和完善,地震资料品质得到明显提高,但是目前对这些地震数据的使用还停留在常规构造解释方面,缺少从不同方位地震数据中提取有效断裂信息的针对性方法。本次以玛湖1井区三维地震数据为例,通过不同手段将多个数据体和多种地震属性融合解释,有效提高了研究区微小断裂识别精度,取得了较好的应用效果。

For the moment more than 100 seismic attri-butes are available for hydrocarbon geology study.But how to select the suitables from this large number of attributes is of vital importance.On the other hand,high-density and wide-azimuth data acquisition and processing improve significantly seismic data quality.However,conventional structural research still remains in the seismic data interpretation.Some methods for extracting fracture information from seismic data of different orientations are needed.Therefore,based on the 3D seismic data in the Well MH1 area,we identify minor faults with different multi-attribute fusion,and achieve good results.