A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning-Reference-Cited by-同舟云学术

A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning

Published:2021-01 Issue: Volume:196 Page:107811
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Mohamadian Nima,Ghorbani Hamzeh^ORCID,Wood David A.^ORCID,Mehrad Mohammad,Davoodi Shadfar,Rashidi Sina,Soleimanian Alireza,Shahvand Amirafzal Kiani

Funder

National Iranian Gas Company

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference53 articles.

1. Effects of reservoir depletion on borehole stability;Aadnoy;J. Petrol. Sci. Eng.,1991

2. Analytical and numerical study of casing collapse in Iranian oil field;Abdideh;Geotech. Geol. Eng.,2018

3. Neural networks: a new tool for the petroleum industry? SPE-27561-MS;Ali,1994

4. A comparative study of nonlinear time-varying process modeling techniques: application to chemical reactor;Ayachi;J. Intell. Learn Syst. Appl.,2012

5. A semi-empirical relation between static and dynamic elastic modulus;Asef;J. Petrol. Sci. Eng.,2017

Cited by 65 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. A novel data-driven model for real-time prediction of static Young's modulus applying mud-logging data;Earth Science Informatics;2024-09-11

2. Novel approaches in geomechanical parameter estimation using machine learning methods and conventional well logs;Geosystem Engineering;2024-07-15

3. Improving stability and safety in concrete structures against high-energy projectiles: a machine learning perspective;Frontiers in Materials;2024-07-01

4. A Review of Predictive Analytics Models in the Oil and Gas Industries;Sensors;2024-06-20

5. Study on multi-factor casing damage prediction method based on machine learning;Energy;2024-06