Prediction of geomechanical bearing capacity using autoregressive deep neural network in carbon capture and storage systems

Carbon Capture and Storage (CCS) field is growing rapidly as a means to mitigate the accumulation of greenhouse gas emissions. However, the geomechanical stability of CCS systems, particularly related to bearing capacity, remains a critical challenge that requires accurate prediction models. In this...

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Detalles Bibliográficos
Autores principales: Ibraheem Shelash Al-Hawary, Sulieman, Ali, Eyhab, Mohammad Husein Kamona, Suhair, Hussain Saleh, Luma, Abdulwahid, Alzahraa S., Al-Saidi, Dahlia N., Alhassan, Muataz S., Rasen, Fadhil A., Abdullah Abbas, Hussein, Alawadi, Ahmed, Abbas, Ali Hashim, Sina, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685191/
https://www.ncbi.nlm.nih.gov/pubmed/38034690
http://dx.doi.org/10.1016/j.heliyon.2023.e21913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685191/
https://www.ncbi.nlm.nih.gov/pubmed/38034690
http://dx.doi.org/10.1016/j.heliyon.2023.e21913

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