A data-driven method for optimal parameter value determination for SRME-Reference-Cited by-同舟云学术

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A data-driven method for optimal parameter value determination for SRME

Published:2020-09-30 Issue: Volume: Page:
ISSN:
Container-title:SEG Technical Program Expanded Abstracts 2020
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Short-container-title:

Author:

Yan Zhimei¹,Lapilli Cintia¹,Slaton Scott¹,de Melo Frederico Xavier¹

Affiliation:

1. Schlumberger

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2020-3426939.1

Reference6 articles.

1. A perspective on 3D surface-related multiple elimination

2. Espinoza, C., W. Sanger, D. Nichols, and J. Vasquez, 2017, Geology-constrained data-driven multiple prediction: 87th Annual International Meeting, SEG, Expanded Abstracts, 4747–4751, doi: 10.1190/segam2017-17789671.1.

3. Ke, B., P. Li, Y. Fang, and Z. Huang, 2012, An approach to optimize the multiple contribution gather aperture: 82nd Annual International Meeting, SEG, Expanded Abstracts, 1–5, doi: 10.1190/segam2012-0047.1.

4. Fresnel-zone binning: Fresnel-zone shape with offset and velocity function

5. Vazquez, J. M., A. Leon, and L. Freitas, 2015, SRME: Optimal modelling aperture: 14th International Congress of the Brazilian Geophysical Society and EXPOGEF.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An automated cost-effective 3D surface-related multiple elimination workflow;Third International Meeting for Applied Geoscience & Energy Expanded Abstracts;2023-12-14

2. Asymmetric apertures for 3D SRME: Practical aspects and opportunities;Second International Meeting for Applied Geoscience & Energy;2022-08-15

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