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Record W2093990400 · doi:10.2118/89719-ms

Evolution of Completion Practices in the Wild River Tight Gas Field

2004· article· en· W2093990400 on OpenAlexaboutno aff
D. A. F. Colwell, C. G. J. O'Brien, T. D. Gates

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2004
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTight gasCompletion (oil and gas wells)Environmental scienceField (mathematics)Hydrology (agriculture)GeologyPetroleum engineeringMathematicsHydraulic fracturingGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract This paper presents the evolution of completion practices and fracture stimulation that has taken place in the Wild River area of Canada over the past 2 years. Since being acquired in March of 2001, 67 wells have been drilled and completed in the field, which is characterized by multiple stacked, tight gas reservoirs. During that time, seven distinct completion phases can be identified, each targeting either a reduction in the total capital expenditure or enhancing production performance by fracture stimulation optimization. On the capital front, a progression of completion tools occurred including standard bridge plugs, proprietary permanent packer frac systems, and composite bridge plugs. Focus areas for production performance improvement included fluid systems, proppant selection, perforating strategy, energizing fluids, and third party quality control. As a result of this evolution, the average completion cost per zone has been reduced by approximately 40% and the average initial production rate has been increased by approximately 150%.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.841

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.258
Teacher spread0.240 · 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 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

Citations5
Published2004
Admission routes1
Has abstractyes

Explore more

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