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Record W4324029275 · doi:10.2118/212878-ms

Correlating Sour Gas Testing with Successful Field Operations of High Strength Quenched and Tempered Coiled Tubing

2023· article· en· W4324029275 on OpenAlexaboutno aff
Kevin C. Elliott, Scott Davis, Chris Rentas, Jason Hayworth, Tyler Woitas, Erica Meadows

Bibliographic record

VenueSPE/ICoTA Well Intervention Conference and Exhibition · 2023
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCoiled tubingSour gasTest (biology)EngineeringPetroleum engineeringMechanical engineeringForensic engineeringGeologyWaste management

Abstract

fetched live from OpenAlex

Abstract Inhibition is considered critical to successful operations using high strength quenched and tempered coiled tubing in sour environments. Prior laboratory test results did not correlate well with initial field successes in Western Canada. The objective of this paper is to provide further testing that more closely matches real world applications and to provide additional field results from Western Canada. Similar to prior work in Elliott et al (2022), the overall approach to this paper is twofold. The first part focuses on C-ring testing of quenched and tempered tubing to provide confidence, coiled tubing will not fail due to sulfide stress cracking (SSC) when properly inhibited. Testing was performed with a limited exposure time to account for the short window for CT operations and a reasonable inhibition effectiveness period. The second portion of the paper discusses best practices for coiled tubing operations in sour wells. Laboratory C-Ring test results will be provided showing the effectiveness of the inhibition program as well as discussing the possible outcomes of utilizing coiled tubing in sour wells without inhibition based on the tests performed without inhibition. Discussion of the laboratory results will also describe the lessons learned in test plan development with respect to inhibitor effectiveness windows. Following the practical best practices for sour well CT operations, the paper will also discuss field history of quench and tempered coiled tubing building on the initial trials reported in Elliott et al (2022). The paper will conclude with a qualification for each grade of quenched and tempered coiled tubing when used with inhibition for sour operations. This paper expands upon the learnings of Elliott et al (2022) with testing program results that matches the field history of effective inhibition systems for high strength quenched and tempered coiled tubing in sour wells. This publication also explores the effects of sour exposure without the aid of inhibition, which serves to document the risks of forgoing inhibition in sour operations.

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 score0.236
Threshold uncertainty score0.649

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 head0.015
GPT teacher head0.218
Teacher spread0.204 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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