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利用地震资料Hilbert-Huang变换划分沉积旋回
引用本文:崔永谦,刘延利,王孟华,李林波,杨国权,周兴海.利用地震资料Hilbert-Huang变换划分沉积旋回[J].石油地球物理勘探,2016,51(5):983.
作者姓名:崔永谦  刘延利  王孟华  李林波  杨国权  周兴海
作者单位:1. 中国石油华北油田分公司地球物理勘探研究院, 河北任丘 06255; 2. 中国石油大学(华东)地球科学与技术学院, 山东青岛 266580; 3. 中国石油华北油田分公司勘探部, 河北任丘 062552
基金项目:本项研究受华北油田课题(HBYT-WTY-2014-JS-247)资助。
摘    要:沉积旋回是指沉积作用和沉积条件按相同的次序不断重复沉积而组成的一个层序,对地层层序的划分关键是正确划分沉积旋回。利用Hilbert-Huang变换(HHT)对测井曲线进行处理,然后划分沉积旋回,是较常用的一种方法,其对井点处的沉积旋回划分较准确,但在无井之处的沉积旋回划分受到了限制。为此,尝试将地震信号进行经验模态分解后,将其结果用于沉积旋回划分。通过分析正旋回、反旋回、正反旋回以及反正旋回等四种沉积旋回模型以及对应的Hilbert时频谱之间的关系可知,高频分量与GR、SP曲线的沉积旋回划分结果吻合较好,中、低频分量的沉积旋回划分结果与地层分界面基本一致。在此基础上,对研究区内井旁地震道进行处理,其沉积旋回划分结果与井资料(地质分层和测井曲线资料)的沉积旋回划分结果吻合较好,验证了文中方法的可靠性。最后,通过对连井剖面的分析,给出了有利砂体的预测范围。

关 键 词:沉积旋回  HHT  沉积模型  经验模态分解  地震信号  
收稿时间:2015-10-09

Sedimentary cycle demarcation based on seismic Hilbert-Huang transformation
Cui Yongqian,Liu Yanli,Wang Menghua,Li Linbo,Yang Guoquan,Zhou Xinghai.Sedimentary cycle demarcation based on seismic Hilbert-Huang transformation[J].Oil Geophysical Prospecting,2016,51(5):983.
Authors:Cui Yongqian  Liu Yanli  Wang Menghua  Li Linbo  Yang Guoquan  Zhou Xinghai
Affiliation:1. Geophysical Exploration Research of Huabei Oilfield Company, PetroChina, Renqiu, Hebei 062552, China; 2. China University of Petroleum(East China), Qingdao, Shandong 266580, China; 3. Exploration Department, Huabei Oilfield Company, PetroChina, Renqiu, Hebei 062552, China
Abstract:Sedimentary cycle is a result of the periodic occurrence of any depositional event. It is amaterial record of various depositional events in a certain time period. The key to stratigraphic sequence determination is to correctly demarcate sedimentary cycle. Common way to do so is to use logging data processed by Hilbert-Huang transformation (HHT). This method can only demarcate sedimentary cycle at well locations, but is usually restricted due to shortage of logging data. Therefore we propose sedimentary cycle demarcation based on seismic HHT. Empirical mode decomposition of seismic data is achieved by HHT, and strata spatial changes are obtained. We analyze 4 kinds of typical model of sedimentary cycle and their Hilbert spectrum. Application results on seismic data are consistent with that on logging data, which demonstrates the reliability of the proposed method.
Keywords:sedimentary cycle  Hilbert-Huang transformation (HHT)  model of sedimentary cycle  empirical mode decomposition  seismic signal  
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