摘要
不同裂缝检测方法对不同尺度、不同成因类型的裂缝检测能力不同。蚂蚁追踪裂缝检测算法是目前一种非常有效的断裂和裂缝识别技术。为了降低地震数据中某些频带范围的噪声对该算法的影响以及探索其能够识别的裂缝类型,本文采用基于频谱分解的蚂蚁追踪裂缝检测技术对玉北地区奥陶系鹰山组岩溶缝洞型储层进行裂缝检测。实际应用结果与钻井、岩心、成像测井、地层倾角测井等资料揭示的信息进行交互验证,表明该方法能够识别因地层挤压而产生的构造裂缝,且识别精度与全频带地震数据计算结果相比得到有效提高,同时也证实了该方法的有效性和实用性。
Different fracture-detection methods can be used to identify fractures with different scales and genetic types,and the ant-tracking fracture detection is one of these effective fracture detection approaches.In order to reduce noise effects in seis-mic data on the algorithm and explore its ability to identify crack types,ant-tracking fracture detection based on spectral decomposition is proposed and applied to Karst fracture-cave reservoirs of Yingshan formation of Ordovician in Yubei area.Compared with the information based on drilling,core,imaging logging and stratigraphic dip logging data,this method can detect structural cracks caused by formation compression.The precision of the method is effectively improved compared to full-band seismic data.It is confirmed that this proposed method is valid and practicable.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2015年第4期665-671,4,共7页
Oil Geophysical Prospecting
基金
油气藏地质及开发工程国家重点实验室基金(PLC201201)资助
