Identification of paleochannels by seismic attribute principal component analysis

被引：0
作者：
Zhang J. [1 ,2 ]
Cheng B. [1 ,2 ]
Xu T. [3 ,4 ]
Yong L. [1 ,2 ]
机构：
[1] State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Sichuan, Chengdu
[2] Key Laboratory of Earth Exploitation and Information Technology, Ministry of Education, Chengdu University of Technology, Sichuan, Chengdu
[3] School of Resources and Environment, University of Electronic Science and Technology of China, Sichuan, Chengdu
[4] Yangtze Delta Region Institute of University of Electronic Science and Technology of China (Huzhou), Zhejiang, Huzhou
来源：
Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2023年 / 58卷 / 01期
关键词：
fusion; paleochannel; principal component analysis; seismic attributes; Shaximiao Formation;
D O I：
10.13810/j.cnki.issn.1000-7210.2023.01.020
中图分类号：
学科分类号：
摘要：
The effect of characterizing channels by using curvature and coherence is not obvious, and the performance of principal component analysis (PCA) on these attributes is poor. Although seismic texture, coherent energy, spectral peak, frequency division amplitude, and other attributes can identify some paleochannels well, there are some problems such as incomplete paleochannel characterization and limited identification range. Therefore, the method of seismic attribute PCA is proposed to identify paleochannels. The method finely characterizes paleochannels at different scales, and its prediction effect is better than that of a single attribute, which improves the identification accuracy of paleochannels. The following understandings are obtained: (1) The three kinds of seismic attributes including seismic texture, coherent energy, and spectral peak can characterize paleochannels well, but their identification results of the paleochannels are not comprehensive. The effective information of channels identified by the three kinds of seismic attributes is fused by PCA, which can highlight the distribution characteristics and boundary morphology of paleochannels. (2)According to the identification difference of channel change details by the instantaneous profile of frequency division amplitude, PCA is used to fuse the instantaneous amplitude attributes of different frequency bands to enhance the common detail information, which improves the identification accuracy of paleochannels. The proposed method is used to identify the channel in Shaximiao Formation in western Sichuan, and it accurately reflects the specific location and contour of the paleochannel. © 2023 Science Press. All rights reserved.
引用
收藏
页码：190 / 195
页数：5
相关论文
共 16 条
[1]  
DAI Xiaofeng, FENG Zhou, WANG Jmfang, Geologic and geophysical characteristics and exploration potential of Karst reservoirs at Maokou Formation in the Central Sichuan Basin, Oil Geophysical Prospecting, 52, 5, pp. 1049-1058, (2017)
[2]  
YANG Guoquan, GAO Rongtao, LEI Ling, Et al., Fine interpretation and description of river facies reservoir [J], Oil Geophysical Prospecting, 40, 3, pp. 314-317, (2005)
[3]  
YUN Meihou, ZHAO Qiufang, LI Xiaobm, Thought about seismic resolution and countermeasures of high-resolution seismic exploration, Oil Geophysical Prospecting, 57, 5, pp. 1250-1262, (2022)
[4]  
CHEN Q, SIDNEY S., Seismic attribute technology for reservoir forecasting and monitoring [J], The Leading Edge, 16, 5, pp. 445-450, (1997)
[5]  
LI Zaiguang, YANG Zhanlong, LIU Juntian, Et al., Hydrocarbon detection by integrating multiple attributes, Natural Gas Geoscience, 17, 5, pp. 727-730, (2006)
[6]  
MI ALL A D., Analysis of Fluvial Depositional Systems [M], (1981)
[7]  
WANG Zhiguo, YIN Cheng, LEI Xiaolan, Et al., GL-CM parameters in fluvial texture analysis, Oil Geophysical Prospecting, 47, 1, pp. 100-106, (2012)
[8]  
WANG Zhiguo, YIN Cheng, JIANG Zhibm, Et al., Seismic geomorphology of channel reservoir in lower Minghuazhen formation, Laizhouwan Depression, Oil Geophysical Prospecting, 47, 4, pp. 629-636, (2012)
[9]  
XING Chengzhi, HU Zhengzhou, CAI Yifeng, Et al., Reservoir prediction with GeoEast in the middle of Dinan uplift [J], Oil Geophysical Prospecting, 49, pp. 120-125, (2014)
[10]  
CAI Hanpeng, HU Haoyang, WU Qingping, Et al., Semi-supervised seismic facies analysis based on pres-tack seismic texture [J], Oil Geophysical Prospecting, 55, 3, pp. 504-509, (2020)
12