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Record W2199116372 · doi:10.3968/8079

Drilling Engineering Design of Well WT-1

2015· article· en· W2199116372 on OpenAlexvenueno aff
YU Cheng-peng

Bibliographic record

VenueAdvances in petroleum exploration and development · 2015
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCasingOil shaleDrilling fluidPetroleum engineeringCompletion (oil and gas wells)DrillingSlurryDrilling engineeringEngineeringGeologyMining engineeringMechanical engineeringWaste management

Abstract

fetched live from OpenAlex

Well WT-1 is a key exploratory well deployed at Jiangjin district of Chongqing for the exploration of shale gas reservoir with the design depth of 4,900.00 m and designed drilled strata at Ordovician Pagoda formation. Due to the complex situations in this area, there are some technical problems, for example, prediction accuracy of formation pressure is poor, Maokou formation is gas bearing formation with ultra-high pressure, and coal seam and shale bed are easy to collapse. Therefore, the well designing comprehensively adopted conventional casing program design methods, setting position design methods and safety risk assessment technique for casing program design; metal ion polymer drilling fluid system was designed in the upper part, and aluminum amine blocking anti-sloughing drilling fluid system was applied in the lower interval of interest. For well cementing design, conventional cement slurry system was used in the upper part and non-permeable latex channeling preventable slurry system was used in the lower part to improve the quality of cement-formation interface, and two special filter cake curing agents were also used in the design.

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: Methods · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.558

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 head0.024
GPT teacher head0.217
Teacher spread0.193 · 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
GenreMethods

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

Citations0
Published2015
Admission routes1
Has abstractyes

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