一种稳健的基于蚂蚁追踪算法的断层追踪技术

A Reliable Fault Tracking Technique Based on Ant Tracking Algorithm

断层解释是地震解释中一项非常重要和繁琐的工作。三维断层跟踪的一种常用方法是在相干属性上应用蚂蚁追踪。然而,蚂蚁追踪的结果在许多情况下过于激进剧烈,造成地层不连续性也被加强,从而导致地球物理解释人员在判断断层时产生多解性。蚂蚁追踪相干体是从匹配地震波形的相似性出发的,由于地震相干性对断层和地层不连续性都很敏感,仅用蚂蚁追踪的方法不能理想区分两者从而产生多解。本研究将地震数据相干体进行特殊滤波,应用于蚂蚁追踪断层识别,发现基于滤波后的相干体的蚂蚁追踪可明显提高断层敏感度。结果表明本方法一种有效的断层追踪方法。

Fault interpretation is a very important and tedious work in seismic data interpretation.A commonly used method in 3D fault tracking has ant tracking on coherence attribute.However,results from ant tracking are usually wenttoo far and extreme,caused stratum discontinuity magnified,accordingly produced fault interpretation ambiguity.Ant tracking coherence cube interpretation is evolved from seismic wiggle traces similarity matching,due to seismic coherence is all sensitive to both fault and stratum discontinuity,to use only ant tracking could not differentiate the two ideally and generate ambiguity.Thus,the study has carried out special filtering for seismic data coherence cubein ant tracking fault recognition,and found that the ant tracking based on coherence cube after filtering can promote sensitivity on fault evidently.The result has shown that the method is effective in fault tracking.