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Record W1972255802 · doi:10.2118/2006-015

Innovative Cement Plug Setting Process Reduces Risk and Lowers NPT

2006· article· en· W1972255802 on OpenAlexaboutno aff
T. Marriott, H. Rogers, Sarah Lloyd, C. Quinton

Bibliographic record

VenueCanadian International Petroleum Conference · 2006
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpark plugCementProcess (computing)Risk analysis (engineering)Computer scienceMaterials scienceEngineeringMetallurgyMedicineMechanical engineering

Abstract

fetched live from OpenAlex

Abstract There are a number of challenges associated with setting cement plugs in an openhole well. Most importantly, drillpipe can become differentially stuck across a lost-circulation zone, and the plug maybecome contaminated with the intermixing of the mud resulting in inadequate isolation or insufficient strength. Cement plugs are used for various reasons including healing losses, abandonment, and directional drilling. It is essential to these operations that a competent cement plug is placed the first time. Thevalue of placing the designed cement plug properly is measured by non-productive rig time, wasted material, and additional cementing services. An innovative tool and a special process1 were designed to meet the challenges associated with setting cement plugs. The tool connects sacrificial/drillable tubing to the drillpipe and allows an operator to trip into the well and spot the cement plug across the problematic zone. Once cement is placed, the tool is disengaged and the operator trips the drillpipe out of the hole, leaving the cement plug and tubing undisturbed. The sacrificial tubing is drillable; therefore, the operator can drill through the plug or commence other operations as required. This paper discusses the challenges operators face when setting cement plugs and how the risk and non-productive time are reduced with this innovative plug-setting process and tool. Well examples are documented from case histories to illustrate the success and lessons learned. Introduction Drilling for natural resources in Canada is not getting easier.To maintain current production levels in a demanding market, operators are forced to either drill into mature fields or into unconventional reservoirs.Production from a mature formation will reduce the pore pressure and this reduced pore pressure can lead to a lower fracture gradient.The chances of lost circulation while drilling into these lower fracture-gradient zones will increase. As the reservoir depletes an operator might drill the next well deeper to capture the resources from a deeper zone. This too exposes the operator to the risk of drilling through this shallower depleted zone. Unique challenges are likely to occur when an operator decides to drill an unconventional reservoir. For example lost circulation to acleated or vugular formation may occur. A properly designed cement slurry is the best choice to heal these lost-circulation events.2,3 Cement can be squeezed into the lostcirculationzones and when set, will strengthen the wellbore. The cement plug is drilled through, leaving the residual cement settinginside these problem zones. Cement plugs can be placed by bullheading down drillpipe into the loss zone or balanced across the loss zone. There are challenges with both of these operations.When bullheading cement, the zone does not get full coverage. This can lead to cement not deep enough or dehydration of thecement below the plug. When drilling through this plug, losses areusually experienced once again.For the greatest chances of success, an operator must place thedrillstring down into the lost-circulation zone. This however, is a risky operation.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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