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

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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Bibliographic Details
Main Authors: Sulieman Ibraheem Shelash Al-Hawary, Eyhab Ali, Suhair Mohammad Husein Kamona, Luma Hussain Saleh, Alzahraa S. Abdulwahid, Dahlia N. Al-Saidi, Muataz S. Alhassan, Fadhil A. Rasen, Hussein Abdullah Abbas, Ahmed Alawadi, Ali Hashim Abbas, Mohammad Sina
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Carbon capture and storage (CCS)
Machine learning
Shear wave velocity
Autoregressive deep neural network
Geomechanics
Petrophysics
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023091211

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http://www.sciencedirect.com/science/article/pii/S2405844023091211

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