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塔西南巨厚黄土区近地表建模方法

王鹏程 吕安琪 郭念民 朱运红 罗姜民 段孟川

物探化探计算技术2025,Vol.47Issue(6):834-844,11.
物探化探计算技术2025,Vol.47Issue(6):834-844,11.DOI:10.12474/wthtjs.20241025-0006

塔西南巨厚黄土区近地表建模方法

Near-surface modeling method for the thick loess area in the Southwest Tarim Basin

王鹏程 1吕安琪 2郭念民 1朱运红 3罗姜民 1段孟川3

作者信息

  • 1. 中国石油集团塔里木油田分公司地球物理部,库尔勒 841000||中国石油天然气集团有限公司超深层复杂油气藏勘探开发技术研发中心,库尔勒 841000||新疆维吾尔自治区超深层复杂油气藏勘探开发工程研究中心,库尔勒 841000
  • 2. 东华理工大学地球物理与测控学院,南昌 330038
  • 3. 中国石油集团东方物探公司塔里木物探分公司,库尔勒 841000
  • 折叠

摘要

Abstract

The piedmont of the Southwest Tarim Basin is a typical"double complex"exploration area,with extremely low SNR ratio of original data and prominent problems of seismic imaging.To improve seismic imaging quality and address the challenge of meeting near-surface model accuracy requirements in thick loess areas,research has been conducted on the relationship between fitting delay and loess thickness,as well as near-surface constrained tomography inversion.The results indicate that the curve of the relationship between the fitted delay time and loess thickness has a good statistical effect,and the equivalent near-surface velocity model constructed based on this has an accuracy of over 90%.Compared with conventional methods,using a near-surface velocity model that conforms to the characteristics of loess as the initial velocity model,through the tomographic inversion method of near-surface constraint and large offset of first arrival,can expand the depth of the credible velocity model while ensuring the accuracy of the shallow surface velocity model,and provide data support for improving seismic imaging effects.The above achievements have guiding and reference significance for high-precision near-surface modeling and high-quality seismic imaging in similar exploration areas.

关键词

塔西南/巨厚黄土/近地表建模/地震成像/延迟时/近地表约束/层析

Key words

Southwest Tarim/thick loess/near-surface modeling/seismic imaging/delay time/near surface constraints/tomography

分类

天文与地球科学

引用本文复制引用

王鹏程,吕安琪,郭念民,朱运红,罗姜民,段孟川..塔西南巨厚黄土区近地表建模方法[J].物探化探计算技术,2025,47(6):834-844,11.

基金项目

中国石油天然气股份有限公司重大科技专项资助项目(2023ZZ14) (2023ZZ14)

中石油超深研发中心重点研发计划资助项目(YF202401) (YF202401)

物探化探计算技术

1001-1749

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