2020
DOI: 10.1016/j.tust.2020.103428
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Modeling of thermal pressurization in tight claystone using sequential THM coupling: Benchmarking and validation against in-situ heating experiments in COx claystone

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Cited by 22 publications
(5 citation statements)
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“…Thus, the pore pressure increases again due to the hydration from the outside clay formation. More physical explanation and studies about the similar phenomenon of THM processes in argillaceous host rock can be found in [58,59].…”
Section: Model Descriptionmentioning
confidence: 86%
“…Thus, the pore pressure increases again due to the hydration from the outside clay formation. More physical explanation and studies about the similar phenomenon of THM processes in argillaceous host rock can be found in [58,59].…”
Section: Model Descriptionmentioning
confidence: 86%
“…Each linear solve requires less than 9 outer iterations and takes roughly 30 s. Given the total number of 130 Newton's iterations, the simulation is achieved in 3800 s. If the Schur preconditioner is used, the total solution time reaches 4700 s, increasing by 24%. We emphasize that the use of the proposed preconditioner allows for a simulation whose size is incomparable to other simulations in the specific field of radioactive waste disposal [4,53,54].…”
Section: Solver Performancementioning
confidence: 99%
“…Based on the TER experiment, Jia et al, (2009) used a coupled theoretical formulation that incorporates a constitutive model especially developed for the COx material, to investigate thermal impact on the in-situ behaviour of the COx claystone [8]. The TOUGH-FLAC simulator using a sequential coupling scheme was employed to analyze thermally-driven THM coupled processes in COx claystone, both TED and ALC1604 experiments are simulated for model validation [20]. Tourchi et al, (2021) presented a 3D THM coupled numerical modelling of the ALC1604 experiment intended to assist in the proper interpretation of the field observations [5].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, we improved the ability of anisotropic heat conduction simulation, which was not considered in the original TOUGH2 code [22]. Compared to the TOUGH + FLAC simulator [20], it is easier to improve the TOUGH2Biot code to implement specific simulation functions for different site conditions and characteristics. Moreover, data exchange is carried out internally during simulation by TOUGH2Biot, thus the computational efficiency is higher compared to the TOUGH + FLAC.…”
Section: Introductionmentioning
confidence: 99%