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Record W4392726693 · doi:10.2118/218327-ms

Decoding Hydrogen Embrittlement in High Strength Coiled Tubing: Insights from Acid-Induced Failures, Field Data Analysis, and Corrosion Management Strategies

2024· article· en· W4392726693 on OpenAlexaff
Garry McClelland, I. I. Galvan, G. L. Mallanao, Bruce Watson

Bibliographic record

VenueSPE/ICoTA Well Intervention Conference and Exhibition · 2024
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsHydrogen embrittlementCorrosionDecoding methodsMaterials scienceEmbrittlementHydrogenField (mathematics)Computer scienceMetallurgyTelecommunicationsChemistry

Abstract

fetched live from OpenAlex

Abstract Recent reports have highlighted hydrogen embrittlement (HE) of high strength, quench-and-temper (Q&T) coiled tubing (CT) resulting from hydrochloric (HCl) acid usage in sour environments. HCl acid treatments expose CT surfaces to aggressive corrosion, often exacerbated by H2S from formation fluids or as a chemical reaction. Helping the CT industry recognize the morphologies of damage when the tube is retired and re-evaluating the CT grade selection and chemicals are vital for averting costly and dangerous CT failures. To establish a comprehensive case history preceding the CT failure mode, pertinent field data must be collected and correlated, encompassing job frequency, acid and H2S exposure duration, concentration levels, downhole conditions, and inhibition procedures. Metallurgical analysis, including an exhaustive battery of tests, was conducted on the specimens: visual assessment, dimensional verification, fractography, metallographic analysis, mechanical integrity evaluation (comprising hardness and tensile testing), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDS), along with sodium azide spot testing. A summary of field failures was evaluated from diverse operational environments and locations. Multiple factors contributed to premature CT retirement, particularly inadequate corrosion inhibition and sulfide scavenger programs. However, environmental conditions, operational stresses, microstructural differences, and susceptibilities of various high-grade materials (Q&T and conventional) were correlated and compared with industry research. Low pH fluids like hydrochloric acid or other acidic substances combined with H2S presence created a susceptibility for the high-grade CT materials consistent with other high strength oil and gas carbon steel materials. Material properties, specifically tensile strength and hardness showed a distinct susceptibility to HE with increasing tensile strength. Steels with tensile strengths below 140-ksi are relatively less vulnerable to HE, but susceptibility significantly escalates beyond this threshold. Typically, low cycle fatigue promoted complete through-wall crack propagation, with some cases demonstrating fatigue originating from the steel centerline, where hydrogen ions from acid tend to migrate and recombine as gas. Other initiation points include the OD/ID surfaces and the longitudinal weld. These initiation points demonstrated consistent hydrogen embrittlement intergranular failure mechanisms. Recent materials research in the Oil and Gas space related to HE and H2S exposure on materials similar to coiled tubing was evaluated for relevance. Two interesting areas of research are presented: fracture propagation theories with hydrogen presence related to fatigue environments, and the influence of various iron sulfide films resulting from the corrosion reaction of H2S and steel. Sour immersion testing results on high strength coiled tubing are also presented to demonstrate the effectiveness of commercially available inhibitors compared to no inhibition, with good results on Q&T coiled tubing. This study emphasizes the vital need to evaluate well conditions and working fluids compatibility (including inhibition) with CT materials to prolong CT operational life. Additionally, this study details the morphology of H2S-induced CT failures in acid stimulations, whether due to HE, Sulfide Stress Cracking (SSC), or Stress Corrosion Cracking (SCC), giving insight to future job planning. Prioritizing prevention planning with robust corrosion management is crucial for prolonging overall service life and minimizing operational disruptions in acidic environments using high strength Q&T CT.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.296
Teacher spread0.266 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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