Inversion of donor vertical time shifts to update a near-surface depth/velocity model

Author:

Bridle Ralph1,Hubbell Shelton1

Affiliation:

1. Saudi Aramco, Exploration Operations Department, Dhahran, Saudi Arabia..

Abstract

The near-surface model for static corrections requires a consistent regional depth/velocity model, while incorporating the fidelity of additional static solutions. We addressed the challenge of tying new seismic acquisition to a depth/velocity model, in which there are static corrections derived independently for each seismic data. The generalized method is a four-step procedure that starts with the grafting of the additional shifts to the recipient static model. The time shifts were then adjusted to constrain the long wavelength at defined locations. The next procedure was to split the time shifts into high- and low-frequency components. The final procedure inverted the high frequency into the shallowest layers and the long wavelength to the velocity from base of model to datum. The result was an updated regional depth/velocity model into which new 2D depth/velocity models could be tied. The generalized solution would work with any additional near-surface static corrections, which could include, and not be limited to, those built from surface waves, remote sensing, and joint inversion with nonseismic data. The inversion of the additional time shifts was primarily intended to provide a solution to their tie and any image improvement is serendipitous. We progressively learned lessons from a simple inversion and achieved the generalized solution.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

同舟云学术

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