地震勘探噪声空间秩相关特征研究

H. Lin, S. Li, Y. Li
{"title":"地震勘探噪声空间秩相关特征研究","authors":"H. Lin, S. Li, Y. Li","doi":"10.3997/2214-4609.201901394","DOIUrl":null,"url":null,"abstract":"In seismic exploration, seismic random noise is considered as temporal and spatial random process. Due to the complex environment of desert seismic exploration, the noise shows many different properties, such as: non-Gaussian, weak similarity and low frequency characteristics. Because it is highly unpredictable, it can only be qualitatively analyzed. We improves the Kendall’s rank correlation coefficient combining spatial information to investigate the spatial correlation property of the desert noise. Based on this method, the noise with spatial correlation is statistically calculated. The spatial correlation coefficient of the desert seismic data illustrate that the spatial rank correlation coefficient can reflect the noise spatial structure well and quantify the spatial correlation degree of noise. We find that desert noise has a spatially weak correlation property in which inconsistent noise is the main component. In addition, because there are few surface vegetation in desert areas, wind speed is also an important factor affecting the spatial noise of desert noise. Desert noise shows weaker spatial correlation after wind speed increases.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Spatial Rank Correlation Characteristics of Seismic Exploration Noise\",\"authors\":\"H. Lin, S. Li, Y. Li\",\"doi\":\"10.3997/2214-4609.201901394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In seismic exploration, seismic random noise is considered as temporal and spatial random process. Due to the complex environment of desert seismic exploration, the noise shows many different properties, such as: non-Gaussian, weak similarity and low frequency characteristics. Because it is highly unpredictable, it can only be qualitatively analyzed. We improves the Kendall’s rank correlation coefficient combining spatial information to investigate the spatial correlation property of the desert noise. Based on this method, the noise with spatial correlation is statistically calculated. The spatial correlation coefficient of the desert seismic data illustrate that the spatial rank correlation coefficient can reflect the noise spatial structure well and quantify the spatial correlation degree of noise. We find that desert noise has a spatially weak correlation property in which inconsistent noise is the main component. In addition, because there are few surface vegetation in desert areas, wind speed is also an important factor affecting the spatial noise of desert noise. Desert noise shows weaker spatial correlation after wind speed increases.\",\"PeriodicalId\":6840,\"journal\":{\"name\":\"81st EAGE Conference and Exhibition 2019\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"81st EAGE Conference and Exhibition 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.201901394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"81st EAGE Conference and Exhibition 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201901394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在地震勘探中,地震随机噪声被认为是一个时空随机过程。由于沙漠地震勘探环境的复杂,其噪声表现出非高斯、弱相似、低频等特征。因为它是高度不可预测的,所以只能进行定性分析。结合空间信息改进Kendall等级相关系数,研究沙漠噪声的空间相关特性。基于该方法,对具有空间相关性的噪声进行统计计算。沙漠地震资料的空间相关系数表明,空间等级相关系数能较好地反映噪声的空间结构,量化噪声的空间相关程度。研究发现,沙漠噪声具有空间弱相关特性,其中不一致噪声是主要成分。此外,由于沙漠地区地表植被较少,风速也是影响沙漠噪声空间噪声的重要因素。风速增大后,沙漠噪声的空间相关性减弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Spatial Rank Correlation Characteristics of Seismic Exploration Noise
In seismic exploration, seismic random noise is considered as temporal and spatial random process. Due to the complex environment of desert seismic exploration, the noise shows many different properties, such as: non-Gaussian, weak similarity and low frequency characteristics. Because it is highly unpredictable, it can only be qualitatively analyzed. We improves the Kendall’s rank correlation coefficient combining spatial information to investigate the spatial correlation property of the desert noise. Based on this method, the noise with spatial correlation is statistically calculated. The spatial correlation coefficient of the desert seismic data illustrate that the spatial rank correlation coefficient can reflect the noise spatial structure well and quantify the spatial correlation degree of noise. We find that desert noise has a spatially weak correlation property in which inconsistent noise is the main component. In addition, because there are few surface vegetation in desert areas, wind speed is also an important factor affecting the spatial noise of desert noise. Desert noise shows weaker spatial correlation after wind speed increases.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信