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Record W2076985684 · doi:10.2118/0408-0064-jpt

Dynamic-Underbalance Perforating Overcomes Environmental Challenges

2008· article· en· W2076985684 on OpenAlexaboutno aff
Karen Bybee

Bibliographic record

VenueJournal of Petroleum Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubseaWirelineSubmarine pipelinePetroleum engineeringDrillingMarine engineeringOil fieldGeologyEnvironmental scienceOceanographyEngineeringTelecommunicationsMechanical engineering

Abstract

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This article, written by Assistant Technology Editor Karen Bybee, contains highlights of paper SPE 108167, "Overcoming Environmental Challenges Using Innovative Approach of Dynamic- Underbalance Perforating," by Dennis Baxter, SPE, Harold McCausland, and Brian Wells, SPE, PetroCanada, and Vinay K. Mishra, SPE, and Larry Behrman, SPE, Schlumberger, prepared for the 2007 Offshore Europe, Aberdeen, 4-7 September. The paper has not been peer reviewed. Wireline-conveyed perforating in conjunction with well flowback evolved as the preferred method for well completions in the Terra Nova field. A consequence of this approach was the need to flare the well at the mobile offshore drilling unit (MODU) to generate the required underbalance. The full-length paper details how a new approach to perforating significantly reduced the environmental risk associated with perforating, while also reducing rig time required for perforating operations without compromising well productivity/injectivity. Introduction Terra Nova is a PetroCanada-operated subsea development off the east coast of Canada. First oil was achieved in January 2002. The field consists of a floating production, storage, and offloading (FPSO) vessel and four associated subsea drill centers connecting three main producing areas. The target reservoir sands are Jurassic and are in the Jeanne d'Arc formation. There are currently 27 wells in the field, including 15 oil producers, 9 water-injection, and 3 gas-injection wells. All wells were drilled and completed from a MODU. A typical well incorporates a 7-in. monobore design to accommodate high flow rates and future intervention requirements. Previous Approach The approach to perforating at Terra Nova evolved over the course of development drilling. As part of the well-planning process, an assessment of perforating alternatives typically was completed for each well to identify opportunities to reduce rig time and flaring requirements. Priorities for perforating included the following.Perforating in an underbalance condition to optimize perforating efficiency.Maintaining a monobore completion through the perforated interval to facilitate future interventions (retrieval of spent guns).Avoiding use of kill pills to prevent near-well damage. In addition, sump availability usually was limited because of overpressure zones and low penetration rates below the reservoir interval. These priorities and limitations typically eliminated the use of tubing-conveyed or stackable gun systems. As a result, use of wireline-conveyed guns, detonated in an underbalance condition, was the typical approach. Underbalance was generated by use of static underbalance for the initial gun run and flowing the well to the MODU for subsequent runs. The wells were flowed to the MODU vs. the FPSO vessel primarily because of concerns regarding the effect of perforating debris on process equipment. To accommodate flowback, the MODU was fitted with a well-test package consisting of the following equipment.High and low stage separators and associated equipment.Dual flare booms with burner heads rated at 2 544 m3/d.Air compressors for oil atomization at burner heads.Zone 1 office.Computerized data-collection network and associated sensors.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.562

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 head0.006
GPT teacher head0.178
Teacher spread0.172 · 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 designObservational
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

Citations0
Published2008
Admission routes1
Has abstractyes

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