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Record W2282324804 · doi:10.2118/179120-ms

Well Integrity for Fracturing and Re-Fracturing: What Is Needed and Why?

2016· article· en· W2282324804 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSPE Hydraulic Fracturing Technology Conference · 2016
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsApache (Canada)
Fundersnot available
KeywordsPetroleum engineeringHydraulic fracturingIntegrity managementOil wellForensic engineeringWork (physics)Structural integrityWell stimulationGeologyEngineeringPetroleumPipeline transportStructural engineeringReservoir engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Fracturing, multiple fracturing and refracturing often create peak loads for well design. The scope of this work is to identify areas of potential damage in older wells being considered for refracturing so that those wells can be flagged for further investigation and repair. Removing damaged well stock from consideration before a well integrity failure can occur protects the environment and also allows time for repairs that protect the future value of the well stock. New and older well conditions and stimulation methods are discussed with a view towards identifying peak-load factors. Laboratory work and literature study results are also cited to document the connection to previous work and relate literature findings to current stress load causes and isolation damage prevention. Well integrity investigation methods include pressure testing, cement evaluation tools (CET), cement and stimulation pump charts, downhole imaging devices (cameras, calipers, electrical logging tools), and other approaches. New well fracturing, and particularly multi-fracturing completions can produce stresses on the cement-to-pipe and cement-to-formation seals, although the damage, depending on specific conditions can be minor to moderate and changes to construction techniques can eliminate or minimize most problems. Re-fracturing of wells opens several new areas of concern including corrosion, erosion, and production related issues such as subsidence that may result in a higher risk to barrier elements. The results of the work illustrate construction methods that can produce wellbores capable of handling significant multi-fracturing stimulation. In addition, risks of re-fracturing damage on damage to older wells are rated with monitoring and remedial operations as part of the discussions. Finally, frac hits (a fracture from one well intersecting and damaging an adjacent well) will be discussed with examples of several factors that are common in frac hits.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.219
Teacher spread0.205 · 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