MétaCan
Menu
Back to cohort
Record W4240560846 · doi:10.2118/2004-279

Compaction Resistant Wellbore for Sand-Producing Wells

2004· article· en· W4240560846 on OpenAlexaff
D.M. Shute, T.M.V. Kaiser, H. Munoz

Bibliographic record

VenueCanadian International Petroleum Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsHusky Energy (Canada)
Fundersnot available
KeywordsCitationWellboreDownloadCompactionEngineeringGeologyMining engineeringLibrary sciencePetroleum engineeringGeotechnical engineeringComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract A common production strategy from heavy oil sands is to produce the sand with the oil to maintain, or even increase, the deliverability of the well. Where very high sand production is realized, the cumulative sand volume "mined" from the reservoir can be very large. This can result in large vertical deformations relative to the elastic strain limit of steel and associated deformation of the liner through the producing interval. A new completion system has been developed to address the deformation associated with very high sand production wells. The Compaction Resistant Wellbore (CRW) was designed to absorb the axial compaction and provide improved structural capacity. Strain-absorbing tools accommodate axial deformation and preserve the elastic characteristics of the pipe. A new type of completion tool through the producing interval provides substantially increased compression strength and buckling resistance to distribute deformation to the strain-absorbing tools. Although the system is novel it can be run with only slight modifications to conventional procedures. Introduction Cold heavy-oil production with sand has proven to be an effective strategy for increasing recovery rates to levels significantly beyond conventional practice. However, experience with this strategy also demonstrates that where the sand production strategy is most successful, well life is often reduced by deformations arising from sand production. Bent and buckled casing often compromises the function of the pump and prevents access to the well to facilitate repair. Tension failures in the cap rock above the reservoir compromise pressure integrity, which results in increased abandonment costs. While the improved productivity generally offsets the cost of such problems, there is substantial opportunity for improving the economic performance of the sand-producing strategy if the problems associated with reservoir compaction can be reduced or eliminated. Much attention has been focused on compaction-induced problems over the past 20 years in the oil industry. Many of the issues have been characterized, and a variety of solutions have been proposed. In this paper, deformation mechanisms are reviewed, considered in the context of a high sand production strategy, and a solution for extending the life of such wells is presented. A case study of a high sand-producing field is reviewed, showing a history of well operation and the implementation of this approach for increasing the well life. Background Many modern production strategies in the oil industry achieve very high recovery rates in reservoirs where the void space containing the oil can be reduced by production. Examples include North Sea chalk reservoirs like Valhall1 and Ekofisk2,3, where compaction drive produces superior recovery rates. While production associated with compaction is a significant benefit, the cost associated with compaction is also high. Subsidence, and casing deformation problems arising from compaction can be difficult and costly to characterize and mitigate. 3–6 Completion performance is also a challenge because of the high compaction strain relative to the completion limits, often exceeding ten times the yield limit of steel. One solution that has been proposed to solve this problem is to use slip joints in the casing or liner to absorb compaction strains so the well structure can accommodate axial deformation without exceeding tensile or compressive limits.

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 score0.342
Threshold uncertainty score0.998

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 head0.014
GPT teacher head0.212
Teacher spread0.198 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueCanadian International Petroleum ConferenceSame topicDrilling and Well EngineeringFrench-language works237,207