分频蚂蚁追踪在识别深层小断层中的应用

Application of frequency division ant-tracking in identifying deep minor fault

由于深层地震资料信噪比通常较低,为合理利用地震数据各频带的反射能量,提高深层资料品质,改善常规叠后裂缝检测方法对细小裂缝的识别能力,本文开展分频蚂蚁追踪技术检测深层小断层的方法研究.基于单频蚂蚁属性解释,借助广义S变换与小波变换分析技术,提出了分频蚂蚁追踪断裂系统解释技术.利用该技术对GP地区深层礁滩储层裂缝进行了检测.对比分析表明,相较于传统蚂蚁追踪属性,分频融合蚂蚁数据体能够较好的压制噪声干扰,识别出常规全频带数据难以识别的深层小断层,对断层的反映更为清晰、准确,反映了更丰富的裂缝发育带信息.

Signal-to-noise ratio（ SNR） is one of the main factors that affect the precision of fault recognition,while it is usually very low in deep seismic data. To solve this problem, this paper develops a technique of frequency division ant-tracking,which can reasonably utilize the reflection energy of each seismic frequency band,improve the quality of deep seismic data and enhance the validity of conventional post-stack crack detection of deep minor faults. With the help of generalized S-transform（ GST） and wavelet transform（ WT）,the frequency division ant-tracking interpretation technique is put forward based on single-frequency ant attributes.Deep reef reservoir fractures of GP field are detected by this technology. Comparative analysis shows that fusion data of frequency division ants has the advantage of suppressing noise,clearly identify the deep small faults,which are difficult to be found in conventional wide band data. Frequency division ant-tracking is more accurate than traditional Ant track properties and can provide more valuable information of fracture-developed zone.