Adaptive multiscale processing of challenging 3D seismic data for first-break picking, FWI and imaging
Author:
Affiliation:
1. Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2019-3214616.1
Reference13 articles.
1. Bakulin, A., and K., Erickson, 2017, Enhance — Estimate — Image: New processing approach for single-sensor and other seismic data with low prestack signal-to-noise ratio: 87th Annual International Meeting, SEG, Expanded Abstracts, 5001–5005, doi: 10.1190/segam2017-17495425.1.
2. Application of supergrouping to enhance 3D prestack seismic data from a desert environment
3. Nonlinear beamforming for enhancing prestack seismic data with a challenging near surface or overburden
4. Bakulin, A., R., Smith, M., Jervis, C., Saragiotis, E., Al-Hemyari, and A., Alramadhan, 2016, Processing and repeatability of 4D buried receiver data in a desert environment: 86th Annual International Meeting, SEG, Expanded Abstracts, doi: 10.1190/segam2016-13849971.1.
5. Blended acquisition with dispersed source arrays
Cited by 9 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. Deep-learning-based local wavefront attributes and their application to 3D prestack data enhancement;GEOPHYSICS;2023-05-01
2. Accelerated deep learning-based estimation of wavefront dips and curvatures and their application to 3D prestack data enhancement;Second International Meeting for Applied Geoscience & Energy;2022-08-15
3. Evaluating HD weathering surveys and surface seismic with DAS in a sand dune environment;Second International Meeting for Applied Geoscience & Energy;2022-08-15
4. Multiplicative random seismic noise caused by small-scale near-surface scattering and its transformation during stacking;GEOPHYSICS;2022-07-20
5. Direct estimation of local wavefront attributes using deep learning;First International Meeting for Applied Geoscience & Energy Expanded Abstracts;2021-09-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3