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Record W1970013199 · doi:10.2118/107050-ms

Abrasive Perforating via Coiled Tubing Revisited

2007· article· en· W1970013199 on OpenAlexaboutno aff
Darcy Schultz, Dave Thompson, D P Whitney

Bibliographic record

VenueSPE/ICoTA Coiled Tubing and Well Intervention Conference and Exhibition · 2007
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsAbrasiveCoiled tubingTortuosityHydraulic fracturingPetroleum engineeringWellboreGeologyGeotechnical engineeringMechanical engineeringEngineeringPorosity

Abstract

fetched live from OpenAlex

Abstract In certain formations in the Western Canadian Sedimentary Basin tortuosity resulting from conventional perforating gives rise to high near well bore friction pressures during hydraulic fracturing operations and the resultant increased likelihood of premature screen out. This paper will discuss the benefits of Abrasive Perforating via coiled tubing and present a number of case studies including vertical and horizontal wells. A number of previously published papers and laboratory investigation has suggested that significant benefits may arise from abrasive perforating; actual well data will be used to test these hypotheses. This paper will present empirical data showing reductions in near well bore friction of up to 92%. Furthermore, benefits of Abrasive Perforating via coiled tubing and overcoming the operational challenges will be discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.222
Teacher spread0.213 · 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.

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

Citations10
Published2007
Admission routes1
Has abstractyes

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