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Record W2593542484 · doi:10.2118/184952-ms

A Challenging Workover in an Offshore Fixed Platform - Accessing Bypassed Hydrocarbons

2017· article· en· W2593542484 on OpenAlexaff
Fred Fernandes, L. Nakajima, V. F. Rodrigues

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsWorkoverMarine engineeringSubmarine pipelinePetroleum engineeringEnvironmental scienceComputer scienceEngineeringGeologyOceanography

Abstract

fetched live from OpenAlex

Abstract This paper presents the planning, execution, and lessons learned of a challenging workover focused on accessing bypassed hydrocarbons for production increase. The workover goal was to add two-bypassed zones, a high quality upper carbonate zone and a thin bed of sandstone, both above the production casing shoe, to the openhole carbonate production of a horizontal well in a fixed offshore platform. Polvo is a brown or mature field in shallow waters of Campos Basin, Brazil. Among the typical problems of mature fields, Polvo shows only pressure drop, declining oil rate, and high water influx, with 80% average water cut. To extend the economic life of Polvo, a huge challenge in the current downturn, its independent operator is rejuvenating existing producing wells, optimizing flow, and identifying, quantifying and accessing bypassed hydrocarbons. The original well was completed in a lower carbonate zone in a 604 m openhole lateral section with sand control screens. After reviewing reservoir and well data, the operator team found the two mentioned bypassed zones. In order to access these zones, it was necessary to perforate them, to control sand production in the sandstone, and to deploy an intermediate completion. Because of internal diameter restriction in the lower completion, hydrajetting replaced casing gun operations in both zones. Sand control in the high angle sandstone interval was a challenge. A specific fracturing/gravel operation followed, successfully, a failed sandstone consolidation trial. Among the main challenges this workover faced budget and time limitations, once the rig operated on a temporary contract, and material, equipment, and footprint restrictions, not mentioning lack of relevant information about the bypassed sandstone zone.

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 score0.081
Threshold uncertainty score0.699

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 communication0.0000.001
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 head0.056
GPT teacher head0.324
Teacher spread0.269 · 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
Published2017
Admission routes1
Has abstractyes

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