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Record W1979576614 · doi:10.2118/127707-ms

Lessons Learned from Drilling Horizontal Wells on Didon Field; Offshore Tunisia

2010· article· en· W1979576614 on OpenAlexaff
Paul J. Jardine, Mohsen Chaaouri, Antony Guyard, M.. Di Pasquale

Bibliographic record

VenueNorth Africa Technical Conference and Exhibition · 2010
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsNutrasource
Fundersnot available
KeywordsDrillingPetroleum engineeringSubmarine pipelineGeologyWellboreCompletion (oil and gas wells)Measurement while drillingOil fieldOffshore drillingDirectional drillingWell drillingOil productionEngineeringMining engineeringGeotechnical engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract The Didon field is located offshore Tunisia in the Pelagian Basin. It was discovered in 1976, and first production began in 1998. Following a decline in production from initial development wells, the latest phase of development drilling began upon commissioning of the production platform in 2006. Horizontal wells drilled in this latest development phase have resulted in production benefits. To date, six horizontal wells have been drilled on the field using various drilling techniques to optimize drilling efficiency and wellbore placement. Using wells drilled to date, this paper outlines the challenges involved in developing the Didon field. It describes lessons learned from application of the different drilling technologies together with the value of pre-well geological modelling and real-time geosteering techniques.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.036
GPT teacher head0.233
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations2
Published2010
Admission routes1
Has abstractyes

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