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Exploringthe Potential of Offshore Geological CO<sub>2</sub> Storage in Canada:A Comprehensive Review and Future Outlook

2025· article· en· W6959276021 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarine pipelineStakeholderCLARITYResource (disambiguation)Multidisciplinary approachSubseaCorporate governanceStakeholder engagementOffshore wind power

Abstract

fetched live from OpenAlex

Offshore Geological Carbon Storage (GCS) stands at the intersection of energy innovation, climate policy, and marine resource management, offering a strategic approach to reducing atmospheric CO<sub>2</sub> levels. Canada’s offshore regions present substantial opportunities for large-scale GCS, potentially mitigating a portion of the country’s 670 million tonnes of annual CO<sub>2</sub> emissions. While onshore sites have been more extensively examined, Canadian offshore formations offer an underutilized capacity that can be leveraged to achieve meaningful climate targets. This review canvasses the extensive evidence based on Canadian offshore GCS potential, drawing together multidisciplinary perspectives that address site characterization, operational practices, economic dynamics, and governance complexities. The intention is to provide a technically rigorous yet accessible overview that elucidates the requirements of safe and efficient offshore GCS. After assessing comprehensive screening criteria for offshore GCS site selection, we explore the technical intricacies that govern successful offshore GCS, spanning well construction, reservoir management, and real-time monitoring methods. The economic dimension is scrutinized with a comparative lens placed on cost structures for offshore versus onshore projects, capital expenses, and potential revenue streams. Construction and installation constitute 70–80% of offshore structure costs, with subsea CO<sub>2</sub> pipelines adding 10–30% to the overall project costs. Detailed analyses of Canada’s regulatory landscape reveal significant complexity, with overlapping jurisdictions and lack of legal clarity on liability and long-term stewardship. Indigenous engagement and stakeholder consultation remain critical for ensuring equitable and socially accepted project development. Throughout, the environmental and social dimensions are kept in view. Potential leakage pathways, induced seismicity, and ecosystem impacts are discussed. Drawing on best practices from established international projects, this review highlights the adaptive learning that Canada can undertake. In bringing together these diverse strandsgeoscience, engineering, economics, law, environment, and societythis review aims to illuminate practical pathways for advancing offshore GCS in Canada.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.998

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)0.0030.000

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 head0.025
GPT teacher head0.213
Teacher spread0.188 · 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 designNot applicable
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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