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Kieran Shawn Moore and Nicholas Vlachopoulos
This research highlights the implementation of a novel sensing approach allowing for geomechanics insights in rock bolt performance and behaviour; recent advancements in the technique are also presented.
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Yufa He, Benjian Song and Qingping Li
This research explores the geomechanical challenges associated with gas hydrate extraction in submarine slope zones, a setting posing a high risk of significant geological calamities. We investigate slope and wellbore deformations driven by hydrate decom...
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Yimin Mao, Liang Chen, Yaser A. Nanehkaran, Mohammad Azarafza and Reza Derakhshani
Artificial intelligence (AI) applications have introduced transformative possibilities within geohazard analysis, particularly concerning the assessment of rock slope instabilities. This study delves into the amalgamation of AI and empirical techniques t...
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Rui Wang, Jiecheng Zhang, Tianju Wang and Hailong Lu
In the Shenhu Area of the South China Sea, although some numerical studies are conducted on the gas production at well SHSC-4, the geomechanical responses have not been taken into account, and the associated impact of permeability enhancement on gas prod...
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Cunjin Lu, Jinpeng Xu, Qiang Li, Hui Zhao and Yao He
The accurate prediction of the height of the water-conducting fracture zone is essential for the prevention of roof damage by water disasters in coal mines. The development law of water-conducting fracture zone in combined mining of Jurassic and Carbonif...
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Paul M. Delgado, V. M. Krushnarao Kotteda and Vinod Kumar
Efficient and accurate poroelasticity models are critical in modeling geophysical problems such as oil exploration, gas-hydrate detection, and hydrogeology. We propose an efficient operator splitting method for Biot?s model of linear poroelasticity based...
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Elena Benvenuti and Giulia Maurillo
The study of the seismogenic mechanical effects induced by oil & gas activities is a socially impacting issue of environmental engineering as well as a challenging task in computational geomechanics. It requires the solution of a coupled problem gove...
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George Parapuram, Mehdi Mokhtari and Jalel Ben Hmida
Artificially intelligent and predictive modelling of geomechanical properties is performed by creating supervised machine learning data models utilizing artificial neural networks (ANN) and will predict geomechanical properties from basic and commonly us...
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V. I. Sokolovskiy,S. V. Borshchevskyi,V. V. Honcharenko
Pág. 120 - 121
The results of mine explorations of destruction of rocks around the shafts of coal mines are presented and the parameters of strengthening them by viscoplastic mortars are substantiated.
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Daniel Castro, Diego Carrera, Francisco Ballester, Juan Alvarez
The appropriate sizing of the strutting sections of a tunnel depends on the adequacy of the parameters initially used to perform the calculation. A very common practice in underground engineering is to make an estimation of the strutting through the use ...
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