MétaCan
Menu
Back to cohort
Record W2802213797 · doi:10.1149/ma2018-01/20/1287

Performance of Treatment of Oil-Sands Produced Water By Electrocoagulation

2018· article· en· W2802213797 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldEnergy
TopicEnergy and Environmental Sustainability
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsElectrocoagulationFoulingWater treatmentAsphaltOil sandsHydroxideSteam injectionProduced waterMetal hydroxideContaminationMaterials scienceAdsorptionPulp and paper industryEnvironmental scienceWaste managementChemical engineeringMetalChemistryMetallurgyEnvironmental engineeringComposite materialInorganic chemistry

Abstract

fetched live from OpenAlex

In Alberta, Canada, the oil-sands industry plays an important role in the local economy, however the industry is the largest water consumer and has a significant impact on the environment. Only 20% of the available bitumen can be extracted by surface mining, while the rest can be produced by in-situ methods. For in-situ methods, steam is typically injected into the reservoir to reduce the bitumen viscosity, allowing the bitumen to be pumped to the surface along with water. In order to avoid hardness and silica in the produced water from fouling the steam generators, water treatment processes are needed. The treatment of this produced water is challenging as it contains dissolved silica, a high level of hardness and complex organics. Our research has shown that electrocoagulation (EC) is a viable technology to remove a large variety of contaminants. This technology applies the concept of electrochemistry by using sacrificial metal electrodes in an electrochemical cell to produce metal hydroxide coagulants that can efficiently remove contaminants by either adsorption or charge neutralization [1]. In this study, a continuous flow-through cell was designed to remove the contaminants from produced water and synthetic produced water following the same inorganic compositions as the produced water. Mild steel and aluminum were evaluated as electrode materials for the EC treatment process. The results show that EC was very effective for removal of dissolved silica in both real and synthetic produced water. More than 90% of the silica was removed using a charge loading of less than 1000 coulomb of charge per liter of water treated, which corresponds to less than ten minutes of treatment under the experimental conditions used. The effect of design and operating parameters including: water flowrate, current density, dissolved oxygen concentration, and electrode spacing will be reported. References: [1] D. Moussa, M. El-Nass, M. Nasser, and M. Al-Marri. "A comprehensive review of electrocoagulation for water treatment: Potentials and challenges." Journal of Environmental Management , vol. 186, pp. 24-41, 2017.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.333

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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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