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Record W1982478251 · doi:10.4043/23150-ms

A Fast and Information-Rich Test Method for Scale Inhibitor Performance

2012· article· en· W1982478251 on OpenAlexaff
Thomas D. Baugh, Ji‐Young Lee, Kristie Winters, J. F. Waters, John Wilcher

Bibliographic record

VenueOffshore Technology Conference · 2012
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsTurbidityScalingComputer scienceChemistryScale (ratio)Environmental scienceProcess engineeringEngineeringMathematicsGeology

Abstract

fetched live from OpenAlex

Abstract This paper introduces a new scale inhibitor evaluation technique that has beensuccessfully employed in screening scale inhibitor performance for offshorescale control projects and operations. For example, a sudden and unpredictedincrease in barium sulfate scaling in a seawater injected field required rapidselection of a new scale inhibitor that could inhibit both carbonate andsulfate scaling without dispersed particles. Finding the right inhibitorrequired testing of 24 chemicals, determining the minimum effectiveconcentrations at three different water chemistries to satisfy fieldrequirements. The kinetic turbidity method provided fast and efficientscreening of these inhibitors. The technique employs a spectrophotometer withtemperature control (4°C - 97°C), multi-cell capability, each of the 12 cellsequipped with magnetic stirring. Turbidity is measured at 500nm over a two hourtime period. Use of this technique enabled rapid screening of 24 chemicals in2–3 different water chemistries with effective inhibitors further tested underdynamic tube blocking conditions in 3 months. This enabled timely selection ofscale inhibitor for offshore production. This kinetic turbidity technique notonly provides information on scale inhibitor performance, but also richinformation on scale formation kinetics, inhibition mechanism andinhibitor-brine compatibility. The kinetic turbidity plots for differentinhibition mechanisms and examples of inhibitor screening test results will bepresented. This technique has become a standard method for scale inhibitor screeningproviding rapid assessment of scale inhibitor effectiveness and is used as thefirst line of testing for scale inhibitor selection in our laboratories. It isespecially useful when logistics and time constraint problems occur, which areoften found in offshore production. Introduction Scale and its prevention is a major flow assurance issue for most oilproduction at some time in the life of a producing field. Since effective scaleinhibition depends on many factors including field conditions, pressure andtemperature, water chemistry, whether the field is water flooded, changes inconditions over the life of the field, each field requires testing of scaleinhibitor effectiveness to meet the requirements for effective scale control. Two common testing methodologies are the dynamic tube blocking test (Bazin etal. 2005; NACE International Publication 31105) and the static bottle test(NACE TM0197-2010; NACE TM0374-2007). The dynamic tube blocking test measuresthe effectiveness of scale inhibitors in preventing scale build-up in acapillary tube using a flowing system. The static bottle test measures theeffectiveness of scale inhibitors in preventing general scale formation, whether in bulk phase or on the bottle surface. This is both a visualassessment and measurable by following the water chemistry of the sampletested. The most widely used test method for scale inhibitor evaluation in the industryis static bottle test. Static bottle test is a low cost, quick test to evaluateinhibitor's performance on scale formation control in bulk solution. Procedureof static bottle testing involves mixing synthetic cation and anion solutionsbased on the field's water analysis along with scale inhibitor at differentinhibitor concentrations, incubate samples at temperature for a specifiedlength of time, filter and submit the solution for ion analysis. In this test, multiple samples can be run at the same time.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.013
GPT teacher head0.252
Teacher spread0.240 · 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 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

Citations30
Published2012
Admission routes1
Has abstractyes

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