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Record W1753678938 · doi:10.3968/5609

Drilling Engineering Design and Application of Well Fengshen-x601

2014· article· en· W1753678938 on OpenAlexvenueno aff
Tianyu Wang

Bibliographic record

VenueAdvances in petroleum exploration and development · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDrillingCasingMeasurement while drillingRate of penetrationPetroleum engineeringGypsumDrilling fluidPenetration rateMud loggingDrilling engineeringOffset (computer science)EngineeringGeologyMechanical engineeringComputer science

Abstract

fetched live from OpenAlex

Thick gypsum and glutenite exist in Fengshen block, which brings a lot of technical problems in drilling construction, therefore, the drilling engineering design optimization of well Fengshen-x601 was launched. Based on the drilling purpose and combined with the actual drilling information of offset wells, the five-intervalled well track and the well structure with four layer casing were adopted in this well, the HJT537GK high efficiency cone bit was recommended in glutenite formation, and saturated saltwater polysulfonate lubricating drilling fluid system was used in gypsum section, through these measures, safety drilling was guaranteed in this well. The average rate of penetration was 3.15 m/h in the actual drilling operation, which increased by 13% compared with the offset wells, in addition, there were no accidents and complex situations. These effective implementation provided some guidance and reference for drilling operations of in the similar block. Key words : Well track with five-intervalled; Gypsum; Glutenite; Drilling design; Fengshen-x601

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 score0.907
Threshold uncertainty score0.231

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 head0.013
GPT teacher head0.203
Teacher spread0.190 · 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
Published2014
Admission routes1
Has abstractyes

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