中东地区大型生屑灰岩油藏地震数据采集脚印压制方法

Footprint Suppression of Seismic Data in Large Bioclastic Limestone Reservoirs in Middle East

中东地区大型油气藏多属于海相碳酸盐岩油气藏,其中白垩系生物碎屑灰岩油藏占据主要地位。地震数据中的采集脚印会对地震解释、属性分析、储层预测造成较大影响。采集脚印可以通过叠前地震数据处理流程消除,但处理流程用时较长且过程繁琐。利用采集脚印对地震属性的敏感特性,在二维波数域中将有效地质信号与采集脚印分离,并应用拉普拉斯高斯滤波器,实现了自适应去除采集脚印。通过压制采集脚印,提高了地震数据信噪比,为中东地区陆上大型生物碎屑灰岩油藏地震属性分析和储层预测提供了技术支撑。

There are lots of large marine carbonate reservoirs in Middle East,in which the bioclastic limestone reservoirs of the Cretaceous Period are in the leading position.The footprint in the seismic data acquisition seriously affected the results of seismic interpretation,attribute analysis and reservoir prediction.Theoretically,footprint from acquisition can be removed through seismic processing workflow,which is time consuming and complex.In this paper,the characteristics that footprint is sensitive to the certain seismic attributes are used to separate the geological signal from the footprint noise,and the Laplacian-Gaussion(LoG)filter is used to adaptively remove footprint.The S/N improves by suppressing footprint,the signal–noise ratio is improved,which provides a technical support for the seismic attribute analysis and reservoir prediction of large onshore bioclastic limestone reservoirs in Middle East.