Work

A Semi-Supervised Approach for Borehole Image Log Structures Segmentation for Small Labeled Datasets

Year: 2025

Type: conference-paper

Source: EAGE Borehole Geology Workshop

DOI: 10.3997/2214-4609.2025640028

Authors: A.Í. Da Cunha, G. Brandemburg Dos Anjos, R. Nascimento, C. Menezes de Jesus, J.J.H. Jauregui

Institutions: Pontifícia Universidade Católica do Rio de Janeiro, Petrobras (Brazil)

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4413002745

FWCI:

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