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volume 22 issue 1 pages 178-192

Internal-multiple-elimination with application to migration using two-way wave equation depth-extrapolation scheme

Publication typeJournal Article
Publication date2025-01-01
scimago Q1
wos Q1
SJR1.219
CiteScore9.4
Impact factor6.1
ISSN16725107, 19958226
Abstract
Internal multiple interference, affecting both seismic data processing and interpretation, has been observed for long time. Although great progress has been achieved in developing a variety of internal-multiple-elimination (IME) methods, how to increase accuracy and reduce cost of IME still poses a significant challenge. A new method is proposed to effectively and efficiently eliminate internal multiples, along with its application in internal-multiple-eliminated-migration (IMEM), addressing this issue. This method stems from two-way wave equation depth-extrapolation scheme and associated up/down wavefield separation, which can accomplish depth-extrapolation of both up-going and down-going wavefields simultaneously, and complete internal-multiple-elimination processing, adaptively and efficiently. The proposed method has several features: (1) input data is same as that for conventional migration: source signature (used for migration only), macro velocity model, and receiver data, without additional requirements for source/receiver sampling; (2) method is efficient, without need of iterative calculations (which are typically needed for most of IME algorithms); and (3) method is cost effective: IME is completed in the same depth-extrapolation scheme of IMEM, without need of a separate processing and additional cost. Several synthesized data models are used to test the proposed method: one-dimensional model, horizontal layered model, multi-layer model with one curved layer, and SEG/EAGE Salt model. Additionally, we perform a sensitivity analysis of velocity using smoothed models. This analysis reveals that although the accuracy of velocity measurements impacts our proposed method, it significantly reduces internal multiple false imaging compared to traditional RTM techniques. When applied to actual seismic data from a carbonate reservoir zone, our method demonstrates superior clarity in imaging results, even in the presence of high-velocity carbonate formations, outperforming conventional migration methods in deep strata.
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IEEE Transactions on Geoscience and Remote Sensing
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Institute of Electrical and Electronics Engineers (IEEE)
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You J. et al. Internal-multiple-elimination with application to migration using two-way wave equation depth-extrapolation scheme // Petroleum Science. 2025. Vol. 22. No. 1. pp. 178-192.
GOST all authors (up to 50) Copy
You J., Zhang G., Huang X., Li X., Cao J. Internal-multiple-elimination with application to migration using two-way wave equation depth-extrapolation scheme // Petroleum Science. 2025. Vol. 22. No. 1. pp. 178-192.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.petsci.2024.06.021
UR - https://linkinghub.elsevier.com/retrieve/pii/S1995822624001845
TI - Internal-multiple-elimination with application to migration using two-way wave equation depth-extrapolation scheme
T2 - Petroleum Science
AU - You, Jiachun
AU - Zhang, Gulan
AU - Huang, Xingguo
AU - Li, Xiangwen
AU - Cao, JunXing
PY - 2025
DA - 2025/01/01
PB - Elsevier
SP - 178-192
IS - 1
VL - 22
SN - 1672-5107
SN - 1995-8226
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2025_You,
author = {Jiachun You and Gulan Zhang and Xingguo Huang and Xiangwen Li and JunXing Cao},
title = {Internal-multiple-elimination with application to migration using two-way wave equation depth-extrapolation scheme},
journal = {Petroleum Science},
year = {2025},
volume = {22},
publisher = {Elsevier},
month = {jan},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1995822624001845},
number = {1},
pages = {178--192},
doi = {10.1016/j.petsci.2024.06.021}
}
MLA
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MLA Copy
You, Jia-Chun, et al. “Internal-multiple-elimination with application to migration using two-way wave equation depth-extrapolation scheme.” Petroleum Science, vol. 22, no. 1, Jan. 2025, pp. 178-192. https://linkinghub.elsevier.com/retrieve/pii/S1995822624001845.