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Record W1973516387 · doi:10.2118/106874-ms

Ultradeep Extended-Reach Stimulations

2007· article· en· W1973516387 on OpenAlexaffabout
Taylor Tongs, Angela Hinrichs, Rae Spickett, L. Robertson

Bibliographic record

VenueSPE/ICoTA Coiled Tubing and Well Intervention Conference and Exhibition · 2007
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsSuncor Energy (Canada)
Fundersnot available
KeywordsCoiled tubingDrillingWell stimulationPetroleum engineeringDrill pipeCompletion (oil and gas wells)DrillDirectional drillingGeologyWellboreGeotechnical engineeringEngineeringMechanical engineeringReservoir engineeringPetroleum

Abstract

fetched live from OpenAlex

Abstract Recent advances in drilling technology have resulted in longer horizontal wells being drilled to more efficiently exploit reservoirs. However, these long open hole horizontals are often problematic when using coiled tubing as the well intervention conveyance system during stimulation. Coiled tubing, a commonly used intervention tool for open hole horizontals, is considerably less stiff than jointed drill pipe and cannot reach TD on many wells due to friction. Assistance from friction reducers, well tractors or other devices have helped, but can be potentially damaging, expensive and/or high risk. This poster details the use of a simple agitation tool placed in the coiled tubing bottom hole assembly during the stimulation. This results in decreased friction which in turn increases reach for coiled tubing thereby allowing full horizontal open hole stimulation treatment. The case study that is presented on the performance of the agitation tool used in coiled tubing stimulations in long horizontal open hole sections of a hot, sour reservoir with a total measured depth up to 7 kilometers. Suncor Energy has utilized this process in the development of its Panther River reservoirs in the Western Canadian Sedimentary Basin with excellent results. Benefits discussed include reduced completion cost and reduced environmental impact.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.856

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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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

Citations6
Published2007
Admission routes2
Has abstractyes

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