一种基于时频域波形分类的储层预测方法

doi:10.12108/yxyqc.20180411

岩性油气藏 ›› 2018, Vol. 30 ›› Issue (4): 98–104.doi: 10.12108/yxyqc.20180411

一种基于时频域波形分类的储层预测方法

石战战^1,2, 王元君², 唐湘蓉², 庞溯¹, 池跃龙^1,2

1. 成都理工大学工程技术学院, 四川乐山 614000;
2. 成都理工大学地球物理学院, 成都 610059

收稿日期:2018-01-20 修回日期:2018-03-15 出版日期:2018-07-21 发布日期:2018-07-21
作者简介:石战战(1986-),男,成都理工大学地球物理学院在读博士研究生,讲师,主要从事储层预测方面的科研和教学工作。地址:(614000)四川省乐山市市中区肖坝路222号成都理工大学工程技术学院资源勘查与土木工程系。Email:shizhanzh@163.com。
基金资助:
国家自然科学基金项目“孔隙介质低频地震衰减与频散异常的识别机理及应用”（编号：41374134）、“复杂地震信号分数域频谱成像理论及应用研究”（编号：41274127）及四川省教育厅项目“基于时频域波形分类的礁滩储层预测方法研究”（编号：16ZB0410）联合资助

Reservoir prediction based on seismic waveform classification in time-frequency domain

SHI Zhanzhan^1,2, WANG Yuanjun², TANG Xiangrong², PANG Su¹, CHI Yuelong^1,2

1. The Engineering and Technical College, Chengdu University of Technology, Leshan 614000, Sichuan, China;
2. College of Geophysics, Chengdu University of Technology, Chengdu 610059, China

Received:2018-01-20 Revised:2018-03-15 Online:2018-07-21 Published:2018-07-21

摘要/Abstract

摘要： 传统时频分析方法在储层预测中面临以下2个问题：受Heisenberg测不准原理或交叉项的影响，常难以满足分辨率要求；增加了信号的冗余度，频域采样率越高，信号冗余度越高，解释工作量就越大。为了解决这2个问题，提出基于时频域波形分类的储层预测方法，该方法通过同步提取变换对地震信号进行时频谱分解，相当于将复杂信号分解为一系列（不同频率和不同时移量的）简单波形的叠加，并对分解结果利用生成拓扑映射进行分类，进而通过测井、钻井资料标定波形分类结果。该方法能够有效检测地震信号波形变化、精细刻画储层形态。

关键词: 曲流河, 隔夹层, 开发中后期, 剩余油, 挖潜, 秦皇岛油田

Abstract: There are two problems in the reservoir prediction:(1)The traditional time-frequency analysis method is influenced by Heisenberg uncertainty principle or cross-terms,so it is often difficult to meet the requirements of high resolution.(2)The traditional time-frequency analysis method increases the redundancy of signal and increases the interpretation workload. Aiming at these two problems,a reservoir prediction method based on timefrequency domain seismic waveform classification was proposed. This method performs time-frequency decomposition of seismic signal by synchroextracting transform,and it corresponds to decomposing the complex signals into a series of simple waveforms(different frequencies and time shifts)superimposed. The decomposition results were classified by generative topographic mapping,and the waveform classification results were further calibrated by logging and drilling data. The practical applications indicate that the seismic signal waveform changes can be effectively detected by the reservoir prediction method combined with the synchroextracting transform and the generative topographic mapping.

Key words: meandering river, interlayer, middle-late stage of development, remaining oil, tapping the potential, Qinhuangdao oilfield

中图分类号:

TE132.1+4

石战战, 王元君, 唐湘蓉, 庞溯, 池跃龙. 一种基于时频域波形分类的储层预测方法[J]. 岩性油气藏, 2018, 30(4): 98–104.

SHI Zhanzhan, WANG Yuanjun, TANG Xiangrong, PANG Su, CHI Yuelong. Reservoir prediction based on seismic waveform classification in time-frequency domain[J]. Lithologic Reservoirs, 2018, 30(4): 98–104.

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一种基于时频域波形分类的储层预测方法

Reservoir prediction based on seismic waveform classification in time-frequency domain

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