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最小方形反向时间迁移成像与照明预先条件基于改进的PRP联梯度的基础上
Xiaodan Zhang1, Rui Li2, Lin Cui2
1School of Electronic Information, Xi'an Polytechnic University, Xi'an, 710060, China. zhangxiaodan@xpu.edu.cn.
Scientific reports
|August 21, 2023
概括
这项研究引入了一种改进的合梯度方法,用于最小平方反向时间迁移 (LSRTM) 成像. 改进的方法加快了融合,减少了数据残留,大大提高了地震成像的准确性和细节性.
科学领域:
- 地质物理学 地质物理学
- 地震成像 - - 地震成像
- 计算地震学计算地震学
背景情况:
- 最小平方反向时间迁移 (LSRTM) 是领先的地震成像技术.
- 波拉克-里比埃尔-波拉克结合梯度 (PRPCG) 方法提供了良好的数值性能,但在LSRTM中收度较低.
- 不够的代梯度信息可能导致低分辨率的地震图像.
研究的目的:
- 提高LSRTM的收速度和准确性.
- 解决LSRTM中传统PRPCG的局限性.
- 为了提高地震成像结果的分辨率和细节.
主要方法:
- 构建了一个优化因子来改进梯度代方向,创建了一个改进的PRPCG (IPRPCG) 方法.
- 与LSRTM (IPRPCG-IP-LSRTM) 的IPRPCG集成了一个预先调节的照明 (IP) 操作员.
- 通过实验分析评估方法的性能.
主要成果:
- IPRPCG-IP-LSRTM方法显著改善了成像结果中的细节特征和事件连续性.
- 与标准方法相比,代曲线的收速度要快得多.
- 规范化数据余量平均减少了6.55%.
结论:
- 拟议的IPRPCG-IP-LSRTM方法有效地提高了地震迁移成像的准确性.
- 优化因子和预条件操作员成功地解决了融合和解决问题的问题.
- 这种方法提供了更详细,更准确的地表结构表示.
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