计算机技术与发展2025，Vol.35Issue(3)：18-25,8.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0358
基于VAEAC的成像测井图像复原方法研究
Research on Imaging Logging Image Restoration Method Based on VAEAC
摘要
Abstract
Imaging logging images can clearly show the geological structure and characteristics of the underground,which helps geological analysis and resource exploration.However,due to the design limitations of electrical imaging logging instruments,blank strips will appear on electrical imaging logging images,which seriously affects the integrity and usability of the image.Existing image restoration methods are not effective in dealing with the problem of filling blank strips.To this end,an imaging logging image restoration method based on improved Variational Autoencoder with Arbitrary Conditioning(VAEAC)is proposed.This method introduces a convolutional block attention module in the decoder part to enhance the model's adaptive learning ability of the importance of feature maps in both channel and spatial dimensions.In addition,transposed convolution is used instead of traditional upsampling technology to improve the ability to capture detailed information during upsampling.Experimental results show that the average structural similarity measure of five groups of imaging logging images with different missing areas in the test set is 0.94,which is about 0.25 higher than that of other similar methods.The improved VAEAC model performs better in processing electrical imaging logging image restoration tasks.It not only effectively restores the texture features of the imaging logging images,but also retains their semantic structure,providing more accurate image information for subsequent imaging logging image interpretation.关键词
电成像测井/图像复原/VAEAC/转置卷积/卷积块注意力机制Key words
electrical imaging logging/image restoration/VAEAC/transposed convolution/convolutional block attention module分类
信息技术与安全科学引用本文复制引用
曹茂俊,张鹏杰..基于VAEAC的成像测井图像复原方法研究[J].计算机技术与发展,2025,35(3):18-25,8.基金项目
黑龙江省建设项目(YJSKCSZ_202309) （YJSKCSZ_202309）
黑龙江省高等教育教学改革项目(SJGY20220253) （SJGY20220253）
中石油科技术开发项目(2021DJ4001) （2021DJ4001）
