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Record W2522945874 · doi:10.2118/0915-0125-jpt

A Multientry, Multistage Fracturing-Sleeve System in Bakken Shale Wells

2015· article· en· W2522945874 on OpenAlexaboutno aff
Chris Carpenter

Bibliographic record

VenueJournal of Petroleum Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsCompletion (oil and gas wells)PerforationOil shalePetroleum engineeringDirectional drillingGeologyCoiled tubingTight oilEngineeringMining engineeringDrillingMechanical engineering

Abstract

fetched live from OpenAlex

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 171629, “Does a Multientry, Multistage Fracturing-Sleeve System Improve Production in Bakken Shale Wells Over Other Completion Methods?,” by Ben Wellhoefer, Andy Eis, and Geoffrey Gullickson, Halliburton, prepared for the 2014 SPE/CSUR Unconventional Resources Conference—Canada, Calgary, 30 September–2 October. The paper has not been peer reviewed. This paper evaluates dominant and currently applied completion methods by comparing wells in the Middle Bakken continuous resource play that have used all identified systems. The authors discuss these completion designs and methods and fracturing operations that are often executed. Assessment of viability and production efficiency of multiple-entry-point fracturing-sleeve-system (MEFSS) completions as compared with other completion methods is the primary focus of the complete paper. Introduction The three most common completion techniques in the Middle Bakken are plug and perforation (P&P), single-entry- point fracturing-sleeve systems (SEFSSs), and MEFSSs. Traditional P&P techniques were developed initially for vertical-well applications and then adapted to horizontal wellbores. As a result, composite-fracturing-plug design had to evolve for horizontal-well deployment and pumpdown capabilities. Cementing, typically the isolation method for P&P-completed wellbores, is also difficult in horizontal wellbores. Because of the need for an interventionless completion system to facilitate compartmentalized stimulation designs, development and use of SEFSS technologies to overcome many of these challenges came into accepted practice. SEFSS technologies use specifically sized balls that are dropped from surface to actuate sleeves that are preinstalled with the completion liner string. These actuation balls also provide progressive downstream isolation as the treatment is pumped sequentially from toe to heel. Fracturing-sleeve systems can be used in conjunction with openhole annular isolation packers or cemented in place. These systems do not require millout to ensure that a target zone can produce, although the ball seats are typically milled in the Bakken system. Fracturing-sleeve technologies also help eliminate the use of water and chemicals because the isolation balls do not have to be pumped to depth postflush as in a P&P technique. Because the actuation balls can be launched and landed on the fly, hundreds of barrels of water are typically saved on each individual treatment. With fracturing-sleeve technology, many tools must be deployed to depth as part of the completion liner string. This increases the complexity of running the completion casing after the wellbore has been drilled when compared with a conventional liner-running operation. While steps can be taken to overcome these installation challenges, fracturing-sleeve systems are often limited in the number of fracturing stages that can be targeted because of the use of actuation balls and ball seats of graduated size against the completion tubular geometry. The use of graduated balls and ball seats can also have an effect on the rate at which fracturing stages can be pumped, especially for smaller- sized ball seats toward the toe of the completion.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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 designBench or experimental
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
Published2015
Admission routes1
Has abstractyes

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