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Record W2802093556 · doi:10.4043/28927-ms

Emergency Chemical Scavenging of Hydrogen Sulfide During Gulf of Mexico Well Flowback

2018· article· en· W2802093556 on OpenAlexaff
N.. Budd, Nikhil Joshi, A. Paille, Q. Li, Thomas M. Miller, K. Kapadia

Bibliographic record

VenueOffshore Technology Conference · 2018
Typearticle
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsNalco (Canada)
Fundersnot available
KeywordsWellheadSubseaHydrogen sulfideSour gasScavengerSulfideChemistryEnvironmental scienceWaste managementPetroleum engineeringGeologyOrganic chemistryNatural gasEngineeringSulfur

Abstract

fetched live from OpenAlex

Abstract During an initial Drillship flowback of a newly completed subsea GoM well, the produced fluids were found to contain unexpected and significant concentrations of hydrogen sulfide (H2S). Despite no detectable levels of H2S in the native reservoir fluids produced from nearby wells in the same sand zone, the flowback separator gas-phase consistently showed H2S concentrations in excess of 100 ppm. It is believed that the souring was caused by irregularities during the completion phase, and the flowback was suspended indefinitely until the serious HS&E concerns could be addressed. Collaboration between the operator and the chemical partner resulted in appropriate operating procedures and chemical selection to allow the well to flowback through existing infrastructure. To mitigate the presence of sour fluids in the carbon steel subsea flowline and topsides plant, the chemical partner was able to prove through laboratory testing that a liquid-phase subsea H2S Scavenger application would prove highly effective. To deliver the chemistry, the scavenger was injected topsides (25 ppm scavenger to 1 ppm gas-phase H2S) into a continuous dead oil circulation that would be used mix with the sour fluids at the wellhead and provide a turbulent flow regime for mixing. This stage of the procedure was preceded by a 500-gallon oil-soluble corrosion inhibitor pill delivered between two pigs to protect the infield flowline from any acid gas induced corrosion. Once well flowback was re-initiated with the treated dead oil circulation, the chemistry was observed to be highly effective at scavenging H2S in the subsea flowline. Draeger tubes and inline gas meters showed no detectable levels of gas-phase H2S during continuous scavenger treatment. To confirm success of the chemical treatment, injection was temporarily ceased and H2S levels were once again detected and began to climb. The value delivered by the relatively small amount of scavenger chemical was tremendous, as the chemical partner was able to help the operator prevent multi-million dollars in workover expenses. Though not immediately quantifiable, the mitigation of topsides HS&E concerns was equally as valuable since the souring was neutralized prior to boarding.

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 categoriesInsufficient 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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.012
GPT teacher head0.226
Teacher spread0.214 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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