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Record W4297405170 · doi:10.2118/210551-ms

A Review of Conventionally Undrillable Wells with Ultra-Narrow Pressure Windows Successfully Drilled Utilizing MPD Over the Last Five Years in USA and Canada

2022· review· en· W4297405170 on OpenAlexaboutno aff
Sagar Nauduri, Martyn Parker, Ahmed Shimi, Gildas Guefack

Bibliographic record

Venuenot available
Typereview
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCasingDrillingPetroleum engineeringWellboreDrillDrill pipeGeologyHigh pressureHydraulic pressureEngineeringGeotechnical engineeringMining engineeringMechanical engineeringEngineering physics

Abstract

fetched live from OpenAlex

Abstract Managed Pressure Drilling (MPD) has been used on multiple projects by several operators in different regions of North America to drill through formations that had ultra-narrow (or conventionally undrillable) pressure windows. As illustrated by the case studies discussed here, a combination of Constant Bottomhole Pressure (CBHP) MPD, Anchor Point MPD, and Pressurized MudCap Drilling (PMCD) MPD variations helped drill through several of these formations, trip in and out safely, log and core hole-sections, and run liner or casing to the target depth and cement it in place. Thus, MPD successfully enabled the operators to tap into these otherwise unattainable reserves. Typical challenges include formation/wellbore instability, shallow-water flows, over-pressured formations, low FIT/LOT, fracture pressure/wellbore strength regression, and moderate to severe losses. A few anomalous formations with uncertain pressure regimes resulted in severe to total losses on one well, while an adjacent well drilled at similar depths resulted in high-pressure influxes with ensuing well-control consequences. A detailed evaluation of historical data, comprehensive hydraulic analysis, appropriate MPD design and planning, and use of technologically advanced, reliable, efficient, and well-maintained equipment were critical factors that led to the success of these MPD projects. Above all, utilizing knowledgeable, experienced, and well-trained MPD personnel helped integrate MPD with the existing rig systems and teams and consistently solve the seemingly insurmountable drilling challenges safely and reliably.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2022
Admission routes1
Has abstractyes

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