In situ stress assessment based on plastic behavior of borehole breakouts and machine learning-Reference-Cited by-同舟云学术

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In situ stress assessment based on plastic behavior of borehole breakouts and machine learning

Published:2022-11-14 Issue:2 Volume:47 Page:241-260
ISSN:0363-9061
Container-title:International Journal for Numerical and Analytical Methods in Geomechanics
language:en
Short-container-title:Num Anal Meth Geomechanics

Author:

Garavand Aboozar¹^ORCID,Hadavimoghaddam Fahime²³

Affiliation:

1. Skolkovo Institute of Science and Technology (Skoltech) Moscow Russia

2. Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development Northeast Petroleum University Daqing China

3. Institute of Unconventional Oil & Gas Northeast Petroleum University Daqing China

Publisher

Wiley

Subject

Mechanics of Materials,Geotechnical Engineering and Engineering Geology,General Materials Science,Computational Mechanics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nag.3467

Reference45 articles.

1. State of Stress in the Earth's Crust

2. Borehole Breakout Method

3. Determination of stress orientation and magnitude in deep wells

4. Northeast-southwest compressive stress in Alberta evidence from oil wells

5. Well bore breakouts and in situ stress

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the minimum horizontal principal stress using genetic expression programming and borehole breakout data;Journal of Rock Mechanics and Geotechnical Engineering;2024-09

2. Toward smart correlations for predicting in-situ stress: Application to evaluating subsurface energy structures;Geoenergy Science and Engineering;2023-12

3. Characterization methods for current in-situ stress in oil and gas reservoirs: a mini review;Frontiers in Earth Science;2023-10-09

4. Prediction of the Maximum Horizontal Principal Stress from Breakout Data Using Generative Adversarial Networks and Backpropagation Neural Network;SPE Journal;2023-10-01

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