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Record W2067789769 · doi:10.1190/1.3063749

Monitoring water front advancements with down‐hole gravity sensors

2008· article· en· W2067789769 on OpenAlexaff
Thomas J. Meyer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsWirelineGravity currentGravimeterGeologyGravitationGeodesyPhysicsInterferometryComputer sciencePetroleum engineeringTelecommunicationsOptics

Abstract

fetched live from OpenAlex

Candidate time‐lapse down‐hole gravity measurands are compared for monitoring water front advancements at the inter‐well scale. The ability to sense small temporal changes to already minimal density contrasts presented by typical OWC problems drives performance requirements of new down‐hole technology being developed by Lockheed Martin (Meyer, 2007). The question naturally arises regarding which component of gravity is best observed, as the miniature interferometric device can be configured to sense one of several gravity components. The concept of measuring differential gravity is introduced and simulated data are compared to respective inline and cross gravity gradients. Distributed density contrasts associated with gradual water saturation changes due to homogeneous sweep show 50 m advancement increments are observable beginning at 200 m proximity to monitoring wells if differential gravity is measured to 1 uμGal. Likewise, a change from ideal sweep to breakout is observed at 130 m proximity. Corresponding sub‐Eötvös‐level inline and cross gradient signals are deemed unobservable. The differential gravity measurement is nominally drift‐free and immune to invaded zone irregularities, so can be collected as part of a periodic wireline service without undue concern regarding accurate downhole replacement. Permanent emplacement in i‐fields is also possible. By virtue of common mode rejection, differential gravity surveys are also free of the multiple environmental corrections typically required of surface micro‐gravity acquisitions (Hare, et. al., 1999, and Ferguson, et. al., 2007).

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score1.000

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)0.0020.001

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 head0.018
GPT teacher head0.228
Teacher spread0.210 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2008
Admission routes1
Has abstractyes

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