基于反射强度交流分量滤波的蚂蚁追踪断层识别技术改进及应用

Improvement and application effect of ant-tracking fault identification technique based on reflection strength AC component filtering

作为一种识别断层地震解释方法,蚂蚁追踪在勘探开发中应用越来越广泛.由于蚂蚁追踪抗噪能力较弱,在识别断层的过程中受地震资料品质的影响较大,效果往往过于破碎,改进的方法通常有两种,一种是对蚂蚁追踪的算法进行改进,另外一种是对地震资料进行去燥处理;由于算法的改进通常由研发人员提出,且集成到软件周期较长,对于解释人员而言,利用去燥处理的方式进行改进更加现实.本文提出一种利用反射强度交流分量滤波对蚂蚁追踪的效果进行改进的方法.首先对原始地震资料进行构造导向滤波,随后进行基于多道倾角扫描的相干体运算,然后利用反射强度交流分量对相干体进行滤波,并将滤波后的正值充零,最后对充零后的数据体进行蚂蚁追踪.改进后的蚂蚁追踪效果较好,提高了断层的识别精度,有利于更加精细地解释断层.

As a seismic interpretation method of identifying faults,ant tracking technique is more and more popular in the oil and gas exploration and development. The noise immunity of ant tracking is poor,and the fault identification effect by ant tracking technique is often broken due to the poor seismic quality. There are 2 kinds of method to improve the effect of ant tracking,one is to improve the algorithm,another one is filter processing. In this paper,a method of improving the effect of ant-tracking fault identification is put forward based on reflection strength AC component filtering.Firstly,the original seismic data is processed with structure oriented filtering and then coherence cube is calculated using the algorithm of multiple seismic trace dip scanning. Secondly,the coherence cube is processed with reflection strength AC component filtering and then the positive value is set zero. Finally,the zero-filling dataset is processed with ant tracking. After application of the improved anttracking fault identification technique,the final ant tracking dataset is more favorable for delicate fault interpretation and the fault identification accuracy is higher.