Anderson S. Santos , Bjorn Ursin , Michelângelo G. Silva , Milton J. Porsani
{"title":"基于奇异值分解的广义相似和多cmp走时参数估计","authors":"Anderson S. Santos , Bjorn Ursin , Michelângelo G. Silva , Milton J. Porsani","doi":"10.1016/j.jappgeo.2025.105915","DOIUrl":null,"url":null,"abstract":"<div><div>This work introduces a novel approach using a multiparametric equation specifically applied within the multi-CMP domain. Our method leverages SVD semblance, capturing the most coherent signal in the first eigenimage. This enables the determination of 2D stacking parameters for a set of CMP families, including velocity and dip of events between lateral CMPs, through analysis akin to conventional velocity analysis. Unlike traditional methods employed in CRS and CDS, such as global and local optimization strategies, our approach does not require an initial velocity model or additional parameters. CRS methods typically involve three parameters in 2D, while CDS methods may require more. In contrast, our method focuses on key parameters like velocity and dip, reducing complexity while maintaining accuracy. The use of the power method results in a reduced computational cost without sacrificing precision in stacking parameter estimation. The method was applied to both synthetic data with varying noise levels and real data from the Jequitinhonha and Camamu Basins, located along the Brazilian passive margin. The results were successful in enhancing the signal-to-noise ratio and improving the continuity of reflectors, demonstrating the robustness and practical utility of our approach.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105915"},"PeriodicalIF":2.1000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generalized semblance and multi-CMP traveltime parameter estimation using Singular Value Decomposition\",\"authors\":\"Anderson S. Santos , Bjorn Ursin , Michelângelo G. Silva , Milton J. Porsani\",\"doi\":\"10.1016/j.jappgeo.2025.105915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This work introduces a novel approach using a multiparametric equation specifically applied within the multi-CMP domain. Our method leverages SVD semblance, capturing the most coherent signal in the first eigenimage. This enables the determination of 2D stacking parameters for a set of CMP families, including velocity and dip of events between lateral CMPs, through analysis akin to conventional velocity analysis. Unlike traditional methods employed in CRS and CDS, such as global and local optimization strategies, our approach does not require an initial velocity model or additional parameters. CRS methods typically involve three parameters in 2D, while CDS methods may require more. In contrast, our method focuses on key parameters like velocity and dip, reducing complexity while maintaining accuracy. The use of the power method results in a reduced computational cost without sacrificing precision in stacking parameter estimation. The method was applied to both synthetic data with varying noise levels and real data from the Jequitinhonha and Camamu Basins, located along the Brazilian passive margin. The results were successful in enhancing the signal-to-noise ratio and improving the continuity of reflectors, demonstrating the robustness and practical utility of our approach.</div></div>\",\"PeriodicalId\":54882,\"journal\":{\"name\":\"Journal of Applied Geophysics\",\"volume\":\"242 \",\"pages\":\"Article 105915\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Geophysics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0926985125002964\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Geophysics","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926985125002964","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Generalized semblance and multi-CMP traveltime parameter estimation using Singular Value Decomposition
This work introduces a novel approach using a multiparametric equation specifically applied within the multi-CMP domain. Our method leverages SVD semblance, capturing the most coherent signal in the first eigenimage. This enables the determination of 2D stacking parameters for a set of CMP families, including velocity and dip of events between lateral CMPs, through analysis akin to conventional velocity analysis. Unlike traditional methods employed in CRS and CDS, such as global and local optimization strategies, our approach does not require an initial velocity model or additional parameters. CRS methods typically involve three parameters in 2D, while CDS methods may require more. In contrast, our method focuses on key parameters like velocity and dip, reducing complexity while maintaining accuracy. The use of the power method results in a reduced computational cost without sacrificing precision in stacking parameter estimation. The method was applied to both synthetic data with varying noise levels and real data from the Jequitinhonha and Camamu Basins, located along the Brazilian passive margin. The results were successful in enhancing the signal-to-noise ratio and improving the continuity of reflectors, demonstrating the robustness and practical utility of our approach.
期刊介绍:
The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.