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Record W4408428972 · doi:10.5194/egusphere-egu25-14599

Balancing Geothermal Potential and Subsurface Challenges

2025· preprint· en· W4408428972 on OpenAlexaff
Grant Ferguson

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsGeothermal gradientGeologyEnvironmental scienceEarth sciencePetroleum engineeringGeophysics

Abstract

fetched live from OpenAlex

There is an enormous potential for geothermal energy to address the issues of energy security and greenhouse gas emissions. Much of this potential remains undeveloped, in part due to concerns about the interface of geothermal energy development with other subsurface uses. In the deep subsurface, geothermal energy targets may overlap with existing oil and gas developments or areas that could be used for carbon storage and sequestration or production of other resources, such as lithium or helium. In the shallow subsurface, geothermal energy developments may overlap with groundwater resources that are critical water supplies and/or have important environmental functions. There is also the potential for shallow geothermal energy developments to interact with other subsurface infrastructure. These interactions in both the deep and shallow subsurface are likely to be problematic under projections of geothermal energy potential that have not considered other subsurface uses. New approaches to subsurface management that consider energy security, reduction of greenhouse gas emissions and water security using a range of possible developments may provide a clearer vision to develop the world’s geothermal resources.

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 categoriesnone
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 score0.479
Threshold uncertainty score0.975

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)0.0000.000

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 head0.017
GPT teacher head0.259
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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