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Record W4294749308 · doi:10.3997/2214-4609.202243038

Modelling Of Tectonic Fault Activation During CO2 Sequestration in a Saline Aquifer

2022· article· en· W4294749308 on OpenAlexaff
Evgenii Kanin, I. Garagash, S. Boronin, Dmitry Garagash, A. Afanasyev, A. Osiptsov, S. Zhigulskiy, A. Penigin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAquiferDilatantGeologyPermeability (electromagnetism)Geotechnical engineeringPorous mediumPorosityCarbon sequestrationShear (geology)GeomechanicsPetrologyMechanicsPetroleum engineeringGroundwaterChemistry

Abstract

fetched live from OpenAlex

Summary We perform the coupled fluid- and geo-mechanical modeling of CO2 sequestration in a saline aquifer crossed by a tectonic fault. The model is based on hydrodynamical reservoir simulator MUFITS and mechanical simulator FLAC3D linked by the algorithm of the data transfer. The modelling of multiphase filtration of CO2 and brine accounting for phase transitions and thermal phenomena is carried out using MUFITS. At certain time, the hydrodynamical simulation is paused, while current pressure and temperature fields are passed to FLAC3D to calculate the equilibrium mechanical state. Numerically found volumetric strain is used to update the porosity and permeability fields for the subsequent hydrodynamic modelling. The study is focused on the effect of CO2 injection on activation of fault crossing the target aquifer. We derive an analytical expression for the permeability alteration in the rock damage zone due to plastic deformations which is based on the dilatancy evaluated numerically. For the fault core, we apply closure relation available in open literature. Parametric study of fault behavior during CO2 sequestration is carried out by varying the governing parameters including the injection strategy. Safe injection regimes are identified which do not lead to seismic activity and CO2 leakage out of the target aquifer.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.027
GPT teacher head0.248
Teacher spread0.221 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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