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作 者:徐兴荣[1] 王西文[1] 王宇超[1] 胡自多[1,2] 刘文卿[1,2] 高厚强[1,3]
机构地区:[1]中国石油勘探开发研究院西北分院,兰州730020 [2]成都理工大学,成都610059 [3]中国石油勘探开发研究院研究生部,北京100010
出 处:《地球物理学进展》2012年第5期2084-2090,共7页Progress in Geophysics
基 金:中石油勘探开发研究院中青年科技创新基金项目<基于GPU/CPU地震成像方法研究>(项目编号:2010-A-26-10);中石油天然气股份公司2010年物探攻关项目<西北缘百口泉地区三维叠前深度偏移处理与有利储层预测>(项目编号:2010-01-02)联合资助
摘 要:逆时偏移成像方法与其它算法的成像方法相比,由于算法不受地层倾角的限制,因此针对陡倾角构造和复杂地质模型地区的成像有着无可比拟的优越性,特别是在盐丘发育的地区优势更加明显.实际应用过程中,逆时偏移通常是应用互相关成像条件构建成像,然而,这种成像条件会产生低频、强振幅的噪音,如果不能彻底消除这些噪音,那它就会严重影响甚至淹没有效信号,特别是在浅层的强反射界面上方往往会出现大量的低频噪音,从而使得浅层构造基本无法识别.基于传统互相关成像条件的这一局限,本文提供了一个新的成像条件,它能在有效成像的同时消除这些低频、强振幅的干扰噪音;其具体实现思路就是将炮点及检波点波场分离成它们的单程波传播分量,然后采用互相关成像条件对分离后的波场进行成像,从而实现逆时偏移成像.通过对模型数据和实际野外数据的实测,证明了该方法的有效性和适用性.Reverse-time migration (RTM) has more for imaging complex structure and steep dip area. Especially, it has obvious ad,antages in salt area, because it is without the dip limitation of travel operator. We often adopt correlation-based imaging condition in industrial production process. However, low-frequency and large-amplitude noises are commonly seen in the section after migration when the correlation -based imaging condition was in application, the noises can usually contaminate the signals in the image, and it often overrides the shadow structures, so it lead us can not distinguish the true structures, it is parasitical for us. Therefore, it is important to remove the noises form the results, but it is difficult to achieve, we generally use band-pass filtering to attenuate the low-frequency noises from section, but band-passfiltering can not remove the noises entirely. Based on this problem, many geopny attenuate these noises. And this paper provides a new imaging condition which can eliminate the noises, it also can obtain good imaging results same time. As we know, the result obtained from one-way equation migration has no noises like the result obtained from RTM, this event guide us to cause a new idea. The basic theory is based on wave-fields separation. First of all, we introduce the basic theory of low-frequency and high-amplitude noises in traditional RTM image then we describe the theory and workflow of new method, the first step we have to do is that we must decompose both of the source wave-fields and receiver wave-fields to their one-way propagation components, we can obtain four terms wave-fields, up-going source wave-fields, down-going source wave-fields, upgoing receiver wave-fields and down-going wave-fields, from what have we discussed above, we have knew the basic reason why the noises generated when correlation-based imaging condition was in application, it caused by the correlation between the source wave-fields and receiver wave-fields which have the same propagate direction. So w
关 键 词:逆时偏移 波场分离 成像条件 低频噪音 波动方程
分 类 号:P631[天文地球—地质矿产勘探]
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