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Record W2084663234 · doi:10.2118/89719-pa

Evolution of Completion Practices in the Wild River Tight Gas Field

2006· article· en· W2084663234 on OpenAlexaffabout
D. A. F. Colwell, Cris O'Brien, T. D. Gates

Bibliographic record

VenueSPE Drilling & Completion · 2006
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsShell (Canada)Encana (Canada)
Fundersnot available
KeywordsCompletion (oil and gas wells)Fracture (geology)Petroleum engineeringProduction (economics)Natural gas fieldCapital (architecture)GeologyWell stimulationEnvironmental scienceEngineeringGeotechnical engineeringGeographyReservoir engineeringWaste managementPaleontologyEconomicsNatural gasArchaeology

Abstract

fetched live from OpenAlex

Summary 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 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 enhancement of production performance by fracture-stimulation optimization. On the capital front, a progression of completion tools occurred including standard bridge plugs, proprietary permanent frac-packer 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 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: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.522

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 head0.014
GPT teacher head0.234
Teacher spread0.221 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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