{"title":"分离地震振动源地力信号中的谐波","authors":"Yimin Sun, Mohammed S. Almubarak, Hussain Marzooq","doi":"10.1190/geo2024-0070.1","DOIUrl":null,"url":null,"abstract":"The ground-force signal of a Vibroseis truck is unavoidably contaminated by harmonics. To better characterize the subsurface, the fundamental mode in the ground-force signal is the preferred choice for the cross-correlation with raw seismic data measured in the field. We present a novel, efficient and effective harmonics decomposition method to separate different orders of harmonics in the ground-force signal. Our method first builds a mathematical model to describe different orders of harmonics in the ground-force signal by honoring the physical mechanism behind the harmonics generation, and then retrieves different orders of harmonics by solving overdetermined linear problems in the analytic-signal domain. The success of our method is demonstrated using both synthetic and field data examples.","PeriodicalId":55102,"journal":{"name":"Geophysics","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Separating harmonics in the ground-force signal of a seismic vibratory source\",\"authors\":\"Yimin Sun, Mohammed S. Almubarak, Hussain Marzooq\",\"doi\":\"10.1190/geo2024-0070.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ground-force signal of a Vibroseis truck is unavoidably contaminated by harmonics. To better characterize the subsurface, the fundamental mode in the ground-force signal is the preferred choice for the cross-correlation with raw seismic data measured in the field. We present a novel, efficient and effective harmonics decomposition method to separate different orders of harmonics in the ground-force signal. Our method first builds a mathematical model to describe different orders of harmonics in the ground-force signal by honoring the physical mechanism behind the harmonics generation, and then retrieves different orders of harmonics by solving overdetermined linear problems in the analytic-signal domain. The success of our method is demonstrated using both synthetic and field data examples.\",\"PeriodicalId\":55102,\"journal\":{\"name\":\"Geophysics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geophysics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1190/geo2024-0070.1\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geophysics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1190/geo2024-0070.1","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
Separating harmonics in the ground-force signal of a seismic vibratory source
The ground-force signal of a Vibroseis truck is unavoidably contaminated by harmonics. To better characterize the subsurface, the fundamental mode in the ground-force signal is the preferred choice for the cross-correlation with raw seismic data measured in the field. We present a novel, efficient and effective harmonics decomposition method to separate different orders of harmonics in the ground-force signal. Our method first builds a mathematical model to describe different orders of harmonics in the ground-force signal by honoring the physical mechanism behind the harmonics generation, and then retrieves different orders of harmonics by solving overdetermined linear problems in the analytic-signal domain. The success of our method is demonstrated using both synthetic and field data examples.
期刊介绍:
Geophysics, published by the Society of Exploration Geophysicists since 1936, is an archival journal encompassing all aspects of research, exploration, and education in applied geophysics.
Geophysics articles, generally more than 275 per year in six issues, cover the entire spectrum of geophysical methods, including seismology, potential fields, electromagnetics, and borehole measurements. Geophysics, a bimonthly, provides theoretical and mathematical tools needed to reproduce depicted work, encouraging further development and research.
Geophysics papers, drawn from industry and academia, undergo a rigorous peer-review process to validate the described methods and conclusions and ensure the highest editorial and production quality. Geophysics editors strongly encourage the use of real data, including actual case histories, to highlight current technology and tutorials to stimulate ideas. Some issues feature a section of solicited papers on a particular subject of current interest. Recent special sections focused on seismic anisotropy, subsalt exploration and development, and microseismic monitoring.
The PDF format of each Geophysics paper is the official version of record.