Log interpretation method of resistivity low-contrast oil pays in Chang 8 tight sandstone of Huanxian area, Ordos Basin by support vector machine
Z Bai, M Tan, Y Shi, X Guan, H Wu, Y Huang - Scientific Reports, 2022 - nature.com
Resistivity low-contrast oil pays are a kind of unconventional oil resource with no obvious
difference in physical and electrical properties from water layers, which makes it difficult to …
difference in physical and electrical properties from water layers, which makes it difficult to …
Predictive Maintenance of Electromechanical Systems Using Deep Learning Algorithms
AM Abood, AR Nasser… - Ingénierie des Systèmes …, 2022 - search.ebscohost.com
Predictive Maintenance (PM) is a major part of smart manufacturing in the fourth industrial
revolution. The classical fault diagnosis approach for complex systems such as an …
revolution. The classical fault diagnosis approach for complex systems such as an …
New insights into estimating the cementation exponent of the tight and deep carbonate pore systems via rigorous numerical strategies
A Rostami, A Helalizadeh, MB Moghaddam… - Journal of Petroleum …, 2024 - Springer
One of the main constituents of any reservoir characterization is an accurate forecast of
water saturation, which is highly dependent upon the cementation exponent. Even though …
water saturation, which is highly dependent upon the cementation exponent. Even though …
Comparative analysis of machine learning based feature selection approach for carbonate reservoir cementation factor prediction
F Anifowose, C Ayadiuno, F Rashedan - International Petroleum …, 2019 - onepetro.org
A key component of the fourth industrial revolution is data integration. However, this comes
with a major challenge: handling increased input feature dimensionality. Multivariate feature …
with a major challenge: handling increased input feature dimensionality. Multivariate feature …
A Bird's Eye View on the Applications of Neural Networks in Reservoir Characterization.
G Yazmyradova, M Hermana, H Soleimani… - Petroleum & …, 2022 - search.ebscohost.com
This review illustrates the most recent improvements and implementations of ANN in
characterizing reservoirs in different regions for faster understanding of young petroleum …
characterizing reservoirs in different regions for faster understanding of young petroleum …
Feature selection based hybrid machine learning approach to formation cementation factor prediction
F Anifowose, C Ayadiuno, F Reshedan - SPE Kuwait Oil and Gas Show …, 2019 - onepetro.org
The formation cementation factor, denoted by m in Archie's equation, is obtained from
special core analysis. The process is costly, requires enormous manpower, and takes time …
special core analysis. The process is costly, requires enormous manpower, and takes time …
[PDF][PDF] Study on the Interpretation Method of Low Resistivity Contrast Oil Reservoir Based on Support Vector Machine—Taking the Chang 8 Tight Sandstone Reservoir …
Z Bai, M Tan, Y Shi, X Guan - 2021 - scholar.archive.org
Low resistivity contrast oil reservoirs are subtle reservoirs that have no obvious difference in
physical and electrical properties from water layers. It is difficult to identify based on the …
physical and electrical properties from water layers. It is difficult to identify based on the …