Optimal coding of blended seismic sources for 2D full waveform inversion in time

K. Florez, Sergio Alberto Abreo Carrillo, Ana Beatríz Ramírez Silva
{"title":"Optimal coding of blended seismic sources for 2D full waveform inversion in time","authors":"K. Florez, Sergio Alberto Abreo Carrillo, Ana Beatríz Ramírez Silva","doi":"10.29047/01225383.78","DOIUrl":null,"url":null,"abstract":"Full Waveform Inversion (FWI) schemes are gradually becoming more common in the oil and gas industry, as a new tool for studying complex geological zones, based on their reliability for estimating velocity models. FWI is a non-linear inversion method that iteratively estimates subsurface characteristics such as seismic velocity, starting from an initial velocity model and the preconditioned data acquired. \nBlended sources have been used in marine seismic acquisitions to reduce acquisition costs, reducing the number of times that the vessel needs to cross the exploration delineation trajectory. When blended or simultaneous without previous de-blending or separation, stage data are used in the reconstruction of the velocity model with the FWI method, and the computational time is reduced. However, blended data implies overlapping single shot-gathers, producing interference that affects the result of seismic approaches, such as FWI or seismic image migration. \nIn this document, an encoding strategy is developed, which reduces the overlap areas within the blended data to improve the final velocity model with the FWI method.","PeriodicalId":10745,"journal":{"name":"CT&F - Ciencia, Tecnología y Futuro","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CT&F - Ciencia, Tecnología y Futuro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29047/01225383.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Full Waveform Inversion (FWI) schemes are gradually becoming more common in the oil and gas industry, as a new tool for studying complex geological zones, based on their reliability for estimating velocity models. FWI is a non-linear inversion method that iteratively estimates subsurface characteristics such as seismic velocity, starting from an initial velocity model and the preconditioned data acquired. Blended sources have been used in marine seismic acquisitions to reduce acquisition costs, reducing the number of times that the vessel needs to cross the exploration delineation trajectory. When blended or simultaneous without previous de-blending or separation, stage data are used in the reconstruction of the velocity model with the FWI method, and the computational time is reduced. However, blended data implies overlapping single shot-gathers, producing interference that affects the result of seismic approaches, such as FWI or seismic image migration. In this document, an encoding strategy is developed, which reduces the overlap areas within the blended data to improve the final velocity model with the FWI method.
混合震源二维全波形实时反演优化编码
基于速度模型估计的可靠性,全波形反演(FWI)方案作为一种研究复杂地质带的新工具,在油气行业中越来越普遍。FWI是一种非线性反演方法,从初始速度模型和获取的预处理数据开始,迭代估计地震速度等地下特征。混合震源已被用于海洋地震采集,以降低采集成本,减少船舶穿越勘探圈定轨迹的次数。在混合或同时进行且未进行分离或解混的情况下,采用FWI方法将阶段数据用于速度模型的重建,减少了计算时间。然而,混合数据意味着重叠的单次射击集,产生干扰,影响地震方法的结果,如FWI或地震图像偏移。本文提出了一种编码策略,通过减少混合数据中的重叠区域来改进FWI方法的最终速度模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信