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基于模型约束的速度谱自动解释策略与方法

刘百红 宋志翔 赵改善 孙成龙

物探化探计算技术2017,Vol.39Issue(5):632-635,4.
物探化探计算技术2017,Vol.39Issue(5):632-635,4.DOI:10.3969/j.issn.1001-1749.2017.05.08

基于模型约束的速度谱自动解释策略与方法

Automatic velocity picking strategy and method with model constrained

刘百红 1宋志翔 1赵改善 1孙成龙1

作者信息

  • 1. 中国石化 石油物探技术研究院,南京 211103
  • 折叠

摘要

Abstract

Conventional manual velocity picking in semblance is time consuming and requires a great deal of manual work.A strategy and method of automatic pick velocity from velocity semblance is proposed.Given a single velocity semblance,the RMS velocity was computed as the global best fit to the velocity semblance using monte carlo random fitting method.A initial RMS velocity model can be built with all the RMS velocity function at each CMP calculated.Next,some CMP points can be selected as seeds from the initial RMS velocity model to perform deliberate velocity picking manually.Then an automatic velocity picking can be done constrained by the velocity function that picked at seeds.This method makes velocity picking timesaving and labor-saving.

关键词

地震勘探/叠加速度/均方根速度/速度谱/自动拾取

Key words

seismic exploration/stacking velocity/RMS velocity/velocity semblance/automatic picking

分类

天文与地球科学

引用本文复制引用

刘百红,宋志翔,赵改善,孙成龙..基于模型约束的速度谱自动解释策略与方法[J].物探化探计算技术,2017,39(5):632-635,4.

基金项目

国家科技重大专项(2016ZX05018007) (2016ZX05018007)

物探化探计算技术

OACSCDCSTPCD

1001-1749

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