A study of transfer learning in digital rock properties measurement
The measurement of physical parameters of porous rock, which constitute reservoirs, is an essential part of hydrocarbon exploration. Typically, the measurement of these physical parameters is carried out through core analysis in a laboratory, which requires considerable time and high costs. Another...
Main Authors: | M I K Haq, I N Yulita, I A Dharmawan |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
|
Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/acf117 |
Similar Items
-
Rock image classification using deep residual neural network with transfer learning
by: Weihao Chen, et al.
Published: (2023-01-01) -
Mesh generation and optimization from digital rock fractures based on neural style transfer
by: Mengsu Hu, et al.
Published: (2021-08-01) -
Transfer Learning Benchmark for Cardiovascular Disease Recognition
by: Mehrez Boulares, et al.
Published: (2020-01-01) -
Comprehensive Evaluation of ImageNet-Trained CNNs for Texture-Based Rock Classification
by: Dipendra J. Mandal, et al.
Published: (2024-01-01) -
Assessment of using transfer learning with different classifiers in hypodontia diagnosis
by: Tansel Uyar, et al.
Published: (2025-01-01)