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Record W2012939408 · doi:10.2118/153005-ms

An Exhaustive Study of Scaling in the Canadian Bakken: Failure Mechanisms and Innovative Mitigation Strategies From Over 400 Wells

2012· article· en· W2012939408 on OpenAlexaboutno aff
Jonathan Wylde, Jubal L. Slayer, Brent Frehlick, Praire Petro-Chem

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsnot available
Fundersnot available
KeywordsCasingScalingCalciteAnhydritePetroleum engineeringScale (ratio)GeologyHydraulic fracturingSalinityBrineReservoir simulationEnvironmental scienceGeochemistryChemistryMathematicsGypsumPhysicsOceanographyPaleontology

Abstract

fetched live from OpenAlex

Abstract The Canadian Bakken has been produced for over 40 years but with advances in fracturing technology during the last 10 years, there has been an exponential increase in Bakken activity. Concurrent with this, there has been a step-change in frequency and severity of scale formation from high value, high productivity wells. This paper summarizes the scaling observations made over the producing life of this high producing formation drawn from treating and servicing over 400 wells through Southern Manitoba and Saskatchewan. The most common scale types are calcite and anhydrite, although there is also evidence of siderite and iron sulfide. Formation of scale in Bakken wells is seen from the bottom of the tubing and open-hole sections up through the casing and rods. Formation water salinity can reach over 250,000 mg/L with up to 20,000 mg/L calcium. When combined with the high down-hole temperature, this brine causes a significant challenge for selection and application of scale inhibitor chemistries. A typical scaling life cycle is given for a Bakken extended reach horizontal well. With production reaching maturity, the severity of scaling in this formation has been found to increase. The influence of fracturing and frequent well interventions has been discussed in terms of the profound effect these activities have on the onset of scale formation. The experiences and strategies of over a dozen different operators have been combined, and the lessons learned from these activities used to determine a common approach in the management of scale in these challenging wells. The paper concludes with several detailed case histories. These show how the development of an innovative scale management philosophy has been successfully put to the test in proactively preventing scale, thereby reducing the overall failure rate for the Bakken operating companies.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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 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

Citations5
Published2012
Admission routes1
Has abstractyes

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