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Record W2526042650 · doi:10.2118/0915-0154-jpt

Scale Inhibitor Works To Prevent Reprecipitation of Calcium Sulfate

2015· article· en· W2526042650 on OpenAlexaboutno aff
Adam Wilson

Bibliographic record

VenueJournal of Petroleum Technology · 2015
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsnot available
Fundersnot available
KeywordsAnhydriteCalcium carbonateGypsumDissolutionCarbonateSulfateGeochemistryCalciteCalciumGeologyMineralogyWeatheringEvaporiteChemistrySedimentary rockOrganic chemistryPaleontology

Abstract

fetched live from OpenAlex

This article, written by Special Publications Editor Adam Wilson, contains highlights of paper IPTC 17827, “Prevention of Dissolution and Reprecipitation of Calcium Sulfate While Acidizing,” by Harvey Quintero, SPE, Darren Maley, SPE, and Farah Zafar, SPE, Trican Well Service, prepared for the 2014 International Petroleum Technology Conference, Kuala Lumpur, 10–12 December. The paper has not been peer reviewed. Calcium sulfate (CaSO4) in the form of gypsum and anhydrite is one of the more prevalent evaporite minerals typically found in the carbonate rocks of the western Canadian sedimentary basin (WCSB). Most calcium sulfate scale inhibitors used for acid treatments rely on either the retardation of CaSO4 crystal growth or the creation of soluble complex salts with the calcium ions. A broad-spectrum scale inhibitor has been specially formulated for high-salinity and acid solutions that not only prevents the precipitation of CaSO4 but also helps inhibit the initial dissolution of CaSO4. Introduction Covering a vast extension of 1.4 million km2, the WCSB is between the southwestern border of the Canadian shield in Manitoba and the eastern flank of the Canadian Rocky Mountain system in British Columbia. Approximately half of the WCSB is composed of carbonate reservoirs. Commonly, these carbonate formations are stimulated with acid. Depending on the formation itself and the presence of formation damage, two main acid-stimulation techniques are used: matrix acidizing and acid fracturing. In a matrix-acidizing treatment, the objective is to squeeze the acid into the formation below fracturing pressures to create wormholes to increase production and to bypass formation damage, such as that caused by drilling. In an acid-fracturing treatment, the acid is pumped at high rates above the fracturing pressure. As the treatment is pumped, the acid reacts with the fracture face, etching it. Once the treatment is complete, a highly conductive path is left by the etching of the fracture face by the acid. The acid treatments are commonly completed with hydrochloric acid (HCl) or with acetic acid (CH3COOH), formic acid (CHOOH), or other organic acids. Conditions throughout the WCSB vary dramatically, and conditions such as bottomhole temperature, metals used in tubulars or downhole tools, minerals present in the formation, and composition of the oil play a factor in the customization of acid blends.

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 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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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 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
Published2015
Admission routes1
Has abstractyes

Explore more

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