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基于测井修正的TTI伪弹性波逆时偏移优化方法

曾庆才 王清华 曾同生 陈胜 张凯

西南石油大学学报(自然科学版)2024,Vol.46Issue(4):38-50,13.
西南石油大学学报(自然科学版)2024,Vol.46Issue(4):38-50,13.DOI:10.11885/j.issn.1674-5086.2024.04.17.03

基于测井修正的TTI伪弹性波逆时偏移优化方法

Optimization of Pseudo Elastic Wave Reverse Time Migration with Logging Correction in TTI Media

曾庆才 1王清华 2曾同生 1陈胜 1张凯3

作者信息

  • 1. 中国石油勘探开发研究院油气地球物理研究所,北京海淀 100083
  • 2. 中国石油塔里木油田公司,新疆库尔勒 841000
  • 3. 中国石油大学(华东)地球科学与技术学院,山东青岛 266580
  • 折叠

摘要

Abstract

In anisotropic media,seismic waves have different velocities in different propagation directions.The use of isotropic wave equations cannot accurately describe the propagation of seismic waves,which can lead to inaccurate positioning of deep events during imaging.On the basis of the TTI medium elastic wave equation,this paper sets the shear wave velocity to a smaller value and introduces a source loop to eliminate pseudo shear wave artifacts.On the other hand,logging data is used to constrain and correct the parameters field,in order to improve the imaging accuracy of deep and complex structures.The reverse time migration(RTM)method can have an impact on imaging due to low-frequency noise.Therefore,based on the Laplacian filtering operator for denoising,the paper extracts the angle domain common imaging point gathers(ADCIGs)and uses angle-selected stacking imaging to suppress strong amplitude low-frequency noise caused by inaccurate migration parameters.The real data requires a large amount of computation during imaging.In this article,the CPU/GPU cooperative operations are used to accelerate migration and improve computational efficiency.The model and real data results show that the TTI-RTM method based on logging data constraints can accurately image deep and complex structural target areas,which also proves the feasibility of the method.

关键词

TTI介质/逆时偏移/伪弹性波/测井数据/角度域共成像点道集/分角度成像

Key words

TTI media/RTM/pseudo elastic wave/logging data/ADCIGs/angle-selected stack imaging

分类

石油、天然气工程

引用本文复制引用

曾庆才,王清华,曾同生,陈胜,张凯..基于测井修正的TTI伪弹性波逆时偏移优化方法[J].西南石油大学学报(自然科学版),2024,46(4):38-50,13.

西南石油大学学报(自然科学版)

OA北大核心CSTPCD

1674-5086

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