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Record W2552484705 · doi:10.2118/183445-ms

CO2 Storage in the Nisku Aquifer in the Wabamun Lake Area, Canada - The Effect of Site Characterization Data on Caprock Integrity Modeling

2016· article· en· W2552484705 on OpenAlexfundaboutno aff
Somayeh Goodarzi, A. Settari

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsCaprockGeologyAquiferFracture (geology)GeomechanicsPermeability (electromagnetism)Geotechnical engineeringPetroleum engineeringPetrologyGroundwater

Abstract

fetched live from OpenAlex

Abstract The geomechanical factors put significant constraints on CO2 storage in terms of injection pressures that may be limited by fracture propagation, injection rates that can be achieved without compromising the seal and excessive fracture propagation, and the CO2 placement affected by fracturing. Goodarzi et al (2012) investigated the feasibility of securely storing CO2 in Nisku geological formation located in Wabamun Lake area (Alberta, Canada) using a coupled flow, thermal and geomechanical model. Due to lack of field and lab measurements, the results of the study were reported as pessimistic. This paper utilized recently recorded well log, well test and lab measurements specific to the study area to build porosity, absolute and relative permeability, thermal, mechanical property and stress profiles required for refining the results of the aforementioned study. The results show that injection in the Nisku aquifer (below or at fracture pressure with 1–2 Mt/year) causes only small surface heave in the range of 2–3 mm. Injection above the fracture pressure at 2 Mt/year results in higher well injectivity but also increases the possibility of caprock fracturing. The degree of vertical propagation strongly depends on the caprock stress state and mechanical properties. The importance of the proper site characterization is highlighted by comparison of our current results with our earlier work on the same site reported in Goodarzi et al. (2012), in which estimates were used for many parameters. The predicted fracture dimensions based on updated fluid and rock mechanical properties in the current work are significantly larger than the dimensions reported in the 2012 study. The primary reason for this is the lower initial fracture pressure and higher stiffness of the reservoir rock formation used in this study.This causes smaller fracture width and lower leak-off which will be compensated by larger extent of fracture both horizontally and vertically.. Thermal effects of cold CO2 injection reduce significantly the fracture pressure and enhance the horizontal fracture propagation. The vertical extension of fracture in the thermal model was shown to be smaller than in the isothermal model due to the confining stress contrast created by thermoelastic stresses. This in turn resulted in larger horizontal propagation of fracture in the thermal model. The reduction of fracturing pressure due to thermal effects will reduce the well injectivity if the well is to be operated below fracture pressure, and increase fracture propagation if fracturing is allowed. This aspect needs to be taken into account by operators as well as by regulatory agencies. If it is required to operate below fracturing, the time-variation of fracture pressure under injection condition can be determined using geomechanicaly coupled model and its historical minimum value should be taken as the maximum operating pressure.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.252
Teacher spread0.224 · 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 designObservational
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
Published2016
Admission routes2
Has abstractyes

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