Application of a generative adversarial network algorithm to filling blank strips of fractures in formation microresistivity imaging images

Application of a generative adversarial network algorithm to filling blank strips of fractures in formation microresistivity imaging images

ObjectiveGaps between the electrodes of formation microresistivity imaging (FMI) imagers lead to blank strips in the resistivity images of borehole walls, significantly influencing the parameter assessment for fractures near borehole walls. The absence of full-borehole images renders it challenging...

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Bibliographic Details
Main Authors: Zhengming KANG, Chensheng WU, Guodong YANG, Disheng WU, Ruifei WANG, Xiangyu YANG, Wei GAN
Format: Article
Language:zho
Published: Editorial Office of Coal Geology & Exploration 2025-03-01
Series:Meitian dizhi yu kantan
Subjects:
formation microresistivity imaging (fmi) log
blank strip filling
deep learning
generative adversarial network (gan)
finite element method
borehole wall fracture
Online Access:http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.07.0472
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