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Record W2905198357

Laboratory Testing to Evaluate the Effectiveness of Caprocks for CO2 Storage

2018· dissertation· en· W2905198357 on OpenAlexaboutno aff
Shahid Mehmood

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsCaprockReliability engineeringComputer scienceEngineeringPetroleum engineering
DOInot available

Abstract

fetched live from OpenAlex

The increased anthropogenic emission of carbon dioxide (CO2) is a serious concern due to its effects on global climate change. Capture of CO2 from point sources and storage in the porous rocks of deep saline reservoirs is considered a practical choice for reducing CO2 emissions into the atmosphere. A fundamental necessity for long-term storage of CO2 in saline reservoirs is the integrity of non-permeable rock called the caprock. The caprock overlies the porous saline reservoir and prevents migration of CO2 upwards out of the reservoir. As such, the primary focus of this research is to test the effectiveness of caprock as a seal or barrier to fluid migration under representative conditions of a geological storage site. Additionally, a secondary focus is the assessment of the rock thermal properties and geomechanical modeling of CO2 injection. This is because thermally induced stress changes resulting from the injection of relatively cold CO2 can lead to the creation of leakage paths (e.g., formation fracturing or reactivation of existing discontinuities). The study area of this research is the proposed CO2 injection location of Project Pioneer (TransAlta) in Alberta. The caprock and storage reservoir in the study area are the Calmar and Nisku Formations, respectively. An experimental setup was developed to measure the permeability of intact and fractured caprock samples exposed to CO2-rich brine under representative temperature and pressure conditions of the injection site. The objective of determining the permeability of fractured caprock samples exposed to CO2-rich brine was to examine how caprock seal effectiveness may evolve over time in the presence of fractures which either preexisted or are generated during CO2 injection. The outcomes were used to assess the collective effects of chemical and physical processes that could lead to caprock leakage. Geomechanical modeling was conducted in this work to investigate injection-induced stress changes and to see whether their effects (deformation) within the storage reservoir are observed on the ground surface. The models incorporate the thermal, geomechanical and geometrical parameters of the saline reservoir and surrounding rocks. The permeability of intact samples of the Calmar Formation (primary seal/caprock) were measured as 0.3 nd (0.3·10-21 m2), and measured permeability of fractured caprock samples ranged between 10 to 40 µd (10·10-18 to 40·10-18 m2). The intact rock permeability is very low, hence, the rate of leakage would be very low (7.4·10-7 m3s-1). Potential leakage rates could be up to four orders of magnitude higher if the caprock is fractured from base to top. The geomechanical deformation model predicted that CO2 injection in the Nisku zone is not likely to cause any significant surface heave (< 2 mm), and it likely too small to be measured effectively using standard surface deformation monitoring techniques. Numerical modeling conducted by a research collaborator using results generated in this research suggests that thermally induced fracturing may occur at the study site if the injection rate is not carefully chosen.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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