Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Constitutive Modelling in Geomechanics: Introduction
por: Puzrin, Alexander M
Publicado: (2012) -
Review of Kerogen’s Geomechanical Properties:
Experiments and Molecular Simulation
por: Othman, Amro, et al.
Publicado: (2022) -
Geomechanical simulation of energy storage in salt formations
por: Ramesh Kumar, Kishan, et al.
Publicado: (2021) -
Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation during Horizontal Drilling
por: Gamal, Hany, et al.
Publicado: (2020) -
NATO Advanced Study Institute on Numerical Methods in Geomechanics
por: Martins, J
Publicado: (1982)