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The Effects of Borehole Ovality on Bare Hole Horizontal Well Completion String Tripping in Friction

2013· article· en· W1930788396 on OpenAlexvenueno aff
Chi Ai, Yu Liu, Yuwei Li

Bibliographic record

VenueAdvances in petroleum exploration and development · 2013
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsOvalityBoreholeTrippingDeformation (meteorology)BermString (physics)Drill stringGeotechnical engineeringMechanicsGeologyGeometryMaterials scienceEngineeringMathematicsStructural engineeringPhysicsComposite materialMechanical engineering

Abstract

fetched live from OpenAlex

Under the effect of non-uniform ground stress, the borehole becomes oval. The deformation regulations and friction calculation in oval borehole has great difference with which in circular borehole. Researching the effect of the ovality of borehole on string tripping in friction is of great significance. In this paper, the string deformation model in oval borehole was established; the maximum displacement changes with different ratios of the major and minor axis and inclination angles were analyzed. The deformation model between two contacting points was established, and the determining method of the new contacting point of multi-packer completion string was proposed. The friction calculating model was established finally.The Hongping 9 well was used as an example to calculate the effect of borehole ovality on the bare hole completion string tripping in friction. By calculating, the friction calculated using the model was in good agreement with the measured value. The friction of completion string is almost zero in vertical section, and in blending and horizontal section the friction is increasing gradually. With the increasing of ovality the friction is increasing. The ovality increases from 1.0 to 1.3, the increasing value of friction is 36.59 kN. Key words: Borehole ovality; Completion string; Bare hole completion; Friction

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 score0.154
Threshold uncertainty score0.384

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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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