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Record W7118533937 · doi:10.5281/zenodo.18153470

Relative Moment Tensor Analysis of the DEEP Heat Enhanced Geothermal System, Finland

2025· article· en· W7118533937 on OpenAlexaff
Wasja Bloch, Volker Øye, M. G. Bostock, A. P. Plourde, Grzegorz Kwiatek

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsGeological Survey of CanadaUniversity of British Columbia
FundersEuropean Commission
KeywordsGeothermal gradientInduced seismicityHeat flowFracture (geology)Moment (physics)Geothermal energyYield (engineering)Permeability (electromagnetism)Magnitude (astronomy)

Abstract

fetched live from OpenAlex

A 40MWth geothermal district heating plant was planned in Espoo, Finland. Heat was to be mined from a granite reservoir at 6100m depth with a temperature of 120°C. To achieve sufficient flow rates, the reservoir was hydraulically fractured, but ultimately permeability was too low and the project was suspended. The wells have been donated to science and an ICDP proposal is in preparation. We here present relMT, a new method to estimate relative earthquake moment tensors (MT) of weak seismic events. Moment tensors yield a description of the size and orientation of the fracturing process at depth. They are important to know, because complexity and size of the activated fracture network limit the maximum magnitude of seismicity and contribute to the success of the stimulation. Relative MTs require less subsurface information than absolute MTs and can be computed small shaking events, allowing to characterize subsurface fracture networks at a finer scale than previously possible.

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: none
Teacher disagreement score0.952
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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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