Denoising method of borehole acoustic reflection image using convolutional neural network

Release time:2026-08-11  Hits:

• DOI number:10.1016/j.geoen.2023.211761
• Affiliation of Author(s):江苏科技大学
• Teaching and Research Group:海洋学院
• Journal:Geoenergy Science and Engineering
• Place of Publication:荷兰
• Key Words:borehole acoustic reflection image; convolutional neural network; image denoising; scattering wavefield
• Abstract:将声波远探测偏移结果视作图像，利用Born近似和Kirchhoff偏移构建模拟训练集，并设计多尺度递归残差网络去除背景噪声。合成及现场数据结果表明，模型能够在降噪的同时保留有效反射体边缘与空间细节。
• Note:来源：https://doi.org/10.1016/j.geoen.2023.211761
• Co-author:Hanchang Xu, Xihao Gu, Chengming Luo
• First Author:Fantong Kong
• Indexed by:科研论文
• Correspondence Author:Shengqing Li
• Discipline:Natural Science
• First-Level Discipline:Geophysics
• Document Type:期刊论文
• Volume:226
• Page Number:211761
• ISSN No.:2949-8910
• Date of Publication:2023-07-01