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Record W7100118883

Short Note 5th dimension warning for 4D studies

2013· article· en· W7100118883 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCompactionAquiferSubsidenceDimension (graph theory)CreepGroundwater-related subsidenceWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

It has been well documented that reservoirs show sometimes staggering amounts of compaction over years of production. The aquifer under Las Vegas, the Ecofisk development, and the Lake Maracaibo area are all examples where the subsidence of porous reservoirs have undergone a compaction observable to the naked eye. Studies of the elastic deformation of the surrounding country rock have shown the distribution of failure types to be associated with the volumetric collapse of a reservoir structure (Segall, 1998). However, the prediction of the nature and timing of the compaction of the reservoir itself need also be understood. Zoback (2001) has made inquiries into the nature of the compaction of granites, Ottawa sand, and the Adamswiller sandstone. This work focuses on an elastic deformation model that does not take into account time progression and creep behavior. The motivation for the study of the creep behavior of reservoir rocks is a fundamental problem of available time. This uncertainty manifests itself in two questions: Over what time scale do reservoirs compact? Can lab measurements capture meaningful parameters to understand the nature and development of reservoir compaction? Simply put, are compaction studies measured in the lab valid at all? After these difficult questions are answered, then next logical step is to ask what impact this can have on repeat seismic experiments that are all the rage in the new millennium. With the publishing of lab compaction data in Dudley and Myers (1994), the case is clear that meaningful measurements can be made despite implementation on time scales orders of magnitude shorter than significant to either geologic time or reservoir life. This results in our ability to make and trust compaction measurements on unconsolidated sand material. While this may solve engineering problems such as pore volume compressability and drive, it introduces a major wrinkle into the 4D seismic experiment that must be recognized. As a reservoir continues to compact over a decade of production, the best models for fluid substitution or pressure dependence of a seismic attribute are meaningless if the rock frame has changed significantly.

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)0.005
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.233
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0060.008
Open science0.0030.006
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.2330.122

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 head0.020
GPT teacher head0.280
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2013
Admission routes1
Has abstractyes

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