P-Wave Reflection Approximation of a Thin Bed and Its Application
“Thin-bed” reservoirs have become important targets of seismic exploration and exploitation. However, traditional amplitude versus offset/amplitude versus angle (AVO/AVA) technologies, for example, those based on Zoeppritz equations and their approximations for a single interface, are not sufficient...
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MDPI AG
2020-11-01
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Online Access: | https://www.mdpi.com/2076-3417/10/22/8061 |
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author | Chun Yang Yun Wang Shu Xiong Zikun Li Hewei Han |
author_facet | Chun Yang Yun Wang Shu Xiong Zikun Li Hewei Han |
author_sort | Chun Yang |
collection | DOAJ |
description | “Thin-bed” reservoirs have become important targets of seismic exploration and exploitation. However, traditional amplitude versus offset/amplitude versus angle (AVO/AVA) technologies, for example, those based on Zoeppritz equations and their approximations for a single interface, are not sufficiently accurate for thin-bed stratigraphy. Analytic solutions of thin-bed reflectivity may become practical for thin-bed AVO analysis and inversion. Therefore, a linear analytic approximation of thin-bed P-wave reflectivity is developed under small-incidence and thin-bed assumptions. Numerical simulations show that the amplitude approximation errors are usually smaller than 10% for incidence angles less than 20 degrees, and the thin-bed thicknesses are less than one-tenth of the P-wave wavelength. Based on the least-squares approach, the inversion strategy is proposed using the approximate formula. A synthetic data test shows that the proposed inversion method can produce more accurate thin-bed properties than that based on the Zoeppritz equations, which reveals the potential of the inversion method based on the linear analytic approximate formula in the fine characterization of thin reservoirs. |
first_indexed | 2024-03-10T14:51:49Z |
format | Article |
id | doaj.art-67141a914db9425280592abd158c5081 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T14:51:49Z |
publishDate | 2020-11-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj.art-67141a914db9425280592abd158c50812023-11-20T20:54:17ZengMDPI AGApplied Sciences2076-34172020-11-011022806110.3390/app10228061P-Wave Reflection Approximation of a Thin Bed and Its ApplicationChun Yang0Yun Wang1Shu Xiong2Zikun Li3Hewei Han4School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China“Thin-bed” reservoirs have become important targets of seismic exploration and exploitation. However, traditional amplitude versus offset/amplitude versus angle (AVO/AVA) technologies, for example, those based on Zoeppritz equations and their approximations for a single interface, are not sufficiently accurate for thin-bed stratigraphy. Analytic solutions of thin-bed reflectivity may become practical for thin-bed AVO analysis and inversion. Therefore, a linear analytic approximation of thin-bed P-wave reflectivity is developed under small-incidence and thin-bed assumptions. Numerical simulations show that the amplitude approximation errors are usually smaller than 10% for incidence angles less than 20 degrees, and the thin-bed thicknesses are less than one-tenth of the P-wave wavelength. Based on the least-squares approach, the inversion strategy is proposed using the approximate formula. A synthetic data test shows that the proposed inversion method can produce more accurate thin-bed properties than that based on the Zoeppritz equations, which reveals the potential of the inversion method based on the linear analytic approximate formula in the fine characterization of thin reservoirs.https://www.mdpi.com/2076-3417/10/22/8061thin bedP-wave responseapproximated formulaapplication |
spellingShingle | Chun Yang Yun Wang Shu Xiong Zikun Li Hewei Han P-Wave Reflection Approximation of a Thin Bed and Its Application Applied Sciences thin bed P-wave response approximated formula application |
title | P-Wave Reflection Approximation of a Thin Bed and Its Application |
title_full | P-Wave Reflection Approximation of a Thin Bed and Its Application |
title_fullStr | P-Wave Reflection Approximation of a Thin Bed and Its Application |
title_full_unstemmed | P-Wave Reflection Approximation of a Thin Bed and Its Application |
title_short | P-Wave Reflection Approximation of a Thin Bed and Its Application |
title_sort | p wave reflection approximation of a thin bed and its application |
topic | thin bed P-wave response approximated formula application |
url | https://www.mdpi.com/2076-3417/10/22/8061 |
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