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Record W4408440788 · doi:10.5194/egusphere-egu25-3958

High pressure triaxial compression test in soft sedimentary rocks

2025· preprint· en· W4408440788 on OpenAlexaff
Shigeo Horikawa, Takato Takemura, Kinichiro Kusunose

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsSuncor Energy (Canada)
Fundersnot available
KeywordsGeologySedimentary rockCompression (physics)Geotechnical engineeringTest (biology)Triaxial shear testPetrologyGeochemistryMaterials sciencePaleontologyComposite material

Abstract

fetched live from OpenAlex

The release of CO2 into the atmosphere is thought to be a major factor contributing to global warming, and technology for separating and recovering CO2 from the gases emitted from large-scale sources and storing it in deep underground aquifers (hereafter referred to as CCS: Carbon dioxide Capture and Storage) is already being used commercially in other countries as a measure to combat global warming. When starting a CO2 geological storage project, as part of risk management, it is necessary to consider whether there is a potential threat of causing seismic activity or ground deformation that could have a negative impact, and to plan and implement countermeasures. The Japan islands located in the convergent zone of four tectonic plates and are known as one of the most earthquake-prone countries in the world. Evaluating and predicting the impact of great earthquakes on reservoirs and cap rocks and disseminating this information to society is considered to be one of the important issues in terms of gaining social acceptance at the project planning stage. The authors are currently developing an earthquake response analysis method for evaluating the stability of CO2 geological storage sites in advance in the event of a great earthquake, but one of the issues is the physical properties of the ground to be input into the analysis model. It is well known that brittle rocks under atmospheric pressure show plasticity under confining pressures of tens to hundreds of MPa, and it is easy to imagine that soft sedimentary rocks also show similar mechanical behaviour. However, there are only a few cases of published high-pressure triaxial compression tests using drilling core samples collected from deep underground, for example. In this study, triaxial compression tests were conducted using sandstone and mudstone block samples (comprising the middle Pleistocene to the upper Pliocene) collected from outcrops and shaped into specimens (height 100 mm, diameter 50 mm) in the laboratory under confining pressures equivalent to CO2 storage sites. Regardless of the age of the sediment, the principal stress difference in mudstone increased to 1-2% axial strain, after which it remained almost constant. There was no clear yield point in the ‘stress-strain curve’, and the mudstone showed strain-hardening behaviour. The pore water pressure increased as the axial strain increased. In the sandstone, no clear shear surface was formed even at an axial strain of around 5%. The specimens did not become barrel-shaped after testing, but instead showed a shape of overall shrinkage. The volume change continued to decrease as the axial strain increased. This is thought to be because the difference in the principal stress did not reach its maximum strength. In the future, we plan to conduct experiments that take into account the pressure history (depositional depth and overburden) that the specimens have been subjected to in the past, before loading tests.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.203
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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