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Record W1971487251 · doi:10.2118/144093-ms

Application of Propane (LPG) Based Hydraulic Fracturing In The McCully Gas Field, New Brunswick, Canada

2011· article· en· W1971487251 on OpenAlexaboutno aff
Don LeBlanc, Tom Martel, Dave Graves, Eric Tudor, Robert Lestz

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOil shaleHydraulic fracturingGeologyPetroleum engineeringShale gasTight gasPermeability (electromagnetism)Natural gas fieldMining engineeringNatural gasEngineeringWaste managementPaleontology

Abstract

fetched live from OpenAlex

Abstract New Brunswick Canada's first commercial unconventional gas field, the McCully field, is located near the town of Sussex in southern New Brunswick. The field is comprised of low permeability Hiram Brook sandstones as well as the underlying Frederick Brook shale. The McCully field started producing gas from the Hiram Brook in April 2003 from two wells and was followed by full production in June 2007. Currently there are twenty-nine wells producing from the Hiram Brook. The Frederick Brook shale was placed on production in March 2008 and is producing gas from one hydraulically fractured vertical well. Additional wells have been drilled, hydraulically fractured and flow tested to further evaluate the development potential of the shale. Prior to 2009, development of the McCully field has included the use of water based hydraulic fracturing to enhance production. In 2009 a fracture program based on using LPG as the fracture fluid was undertaken. Both the Hiram Brook sands and the Frederick Brook shale have been hydraulically fractured with LPG and the results have been compared to the performance of the water based fractures performed in the past. It has been found that both clean up and initial well performance for these tight sands were significantly enhanced using LPG fracs rather than water fracs. This paper compares the clean up performance and the initial flow performance for wells fractured using the two fracturing methods.

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 score0.356
Threshold uncertainty score0.342

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 head0.008
GPT teacher head0.186
Teacher spread0.178 · 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

Citations36
Published2011
Admission routes1
Has abstractyes

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