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Journal Issue

Journal of Geotechnology and Energy

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ISSN 2720-3581

Issue Date

2021

Volume

Vol. 38

Number

No. 3

Access rights

Access: otwarty dostęp
Rights: CC BY 4.0
Attribution 4.0 International

Attribution 4.0 International (CC BY 4.0)

Description

Journal Volume

Item type:Journal Volume,

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Pages

Articles

Item type:Article, Access status: Open Access ,
Determination of mechanical parameters of salts in the cyclic load processes corresponding to the operation of a storage cavern for hydrogen
(AGH University of Science and Technology Press, 2021) Polański, Krzysztof
The paper describes the results of laboratory tests of the strength of salt samples made as part of the HESTOR project in order to determine the mechanical parameters of salt. The tests were carried out using an Autolab 2000 apparatus which allows to simulate any load cycles. The tests were made by simulating the operation of the hydrogen storage cavern. In order to observe the differences in salt behavior depending on the sample medium being stored during the test, gases were supplied: nitrogen, as an analogue of natural gas, and helium as a hydrogen analogue.
Item type:Article, Access status: Open Access ,
A new non-intrusive condition monitoring system designed to improve reliability of RCDs
(AGH University of Science and Technology Press, 2021) Machocki, Krzysztof; Marhoon, Zahrah; Amjad, Shaarawi; Sehsah, Ossama; Dixon, Tom; Mohammad, Jamal Ud-Din
Managed Pressure Drilling (MPD) is a technology that allows for precise wellbore pressure control, especially in formations with uncertain geomechanics. The Rotating Control Device (RCD) is a crucial part of the MPD equipment but is prone to failure. Therefore, a new condition monitoring system was developed to improve the reliability of RCDs and eliminate their catastrophic failures during MPD jobs. Non-intrusive sensors were selected during the design of this condition monitoring system. Sensors measure: vibrations, acoustic emissions, rotation, pipe movement, temperatures, and contamination level in the coolant fluid. The system can display the measurements in real-time to the operator, giving early warnings to prevent the RCD's catastrophic failures during the job. Additionally, the data is recorded to allow further processing and analysis using ML and AI techniques.

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