Industrial Water Treatment: New Trends, Challenges & Solutions
Notice bibliographique
Résumé
This book documents the proceedings of the Industrial Water Treatment: Trends, Challenges, and Solutions symposium, which was sponsored by NACE International Committee STG 11 and held in Vancouver, British Columbia, Canada, from March 6 to 10, 2016, as part of CORROSION 2016. This book also includes papers presented at the Underdeposit Corrosion symposium, sponsored by NACE Committee TEG 092X. Recognized experts in their respective fields were invited to speak at the symposium, and there was particularly strong participation from representatives of academia, government, and industrial research. The symposia had two main objectives: (1) to provide a platform from which local and international participants could share the state of the art of their recent developments in water treatment chemicals, applications, challenges, and technologies, as well as to promote the exchange of information and knowledge between experts (industry and academic) and end users, and (2) to provide young researchers with professional guidance on the industrial trends, challenges, and focal areas for research in the water treatment industry and to encourage methodological rigor in research. This book covers the scientific and technological perspectives of industrial water treatment. The book’s 27 chapters are divided into three sections. Section A (Chapters 1 through 12) deals with the formation and inhibition of scale-forming salts—including calcium carbonate, calcium sulfate dihydrate, calcium oxalate, silica, and calcium phosphate—as well as the removal of impurities and the dispersion and stabilization of suspended matter in cooling and desalination systems. Section B consists of four chapters and focuses on the fundamentals of corrosion and its control in industrial water systems. Section C comprises 11 chapters (Chapters 17 through 27) and deals with scale formation, inhibition, challenges, and limitation in the oil and gas industry. The discussions cover conventional scale to exotic scale (e.g., iron sulfide) from conventional and unconventional resources, such as scaling in shale gas field. This book is intended primarily for scientists, researchers, technologists, and engineers working in the water treatment and water purification industries around the globe. Researchers in other industries—such as pharmaceutical, medical, and food—who are involved in the use of high-purity water, as well as those in academia, will also find useful information here.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,010 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».