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Enregistrement W2048624744 · doi:10.2118/08-09-32

Operational Data From the World's First SAGD Facilities Using Evaporators to Treat Produced Water for Boiler Feedwater

2008· article· en· W2048624744 sur OpenAlex
W.F. Heins

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Notice bibliographique

RevueJournal of Canadian Petroleum Technology · 2008
Typearticle
Langueen
DomaineEngineering
ThématiqueOil and Gas Production Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBoiler feedwaterWaste managementProduced waterSteam-assisted gravity drainageBoiler (water heating)Steam drumSteam injectionEnvironmental scienceFoulingEvaporatorPetroleum engineeringPipingEngineeringHeat exchangerEnvironmental engineeringOil sandsAsphaltSuperheated steamChemistryMechanical engineering

Résumé

récupéré en direct d'OpenAlex

Abstract Many new Steam-Assisted Gravity Drainage (SAGD) heavy oil recovery facilities have recently shifted from the use of warm or hot lime softening, filtration and weak acid cation (WAC) ion exchange to pretreat de-oiled produced water to an approach using falling film, mechanical vapour recompression evaporation to produce steam generator feedwater. This method of SAGD-produced water treatment is much simpler to operate, is more cost effective and results in significant increases in equipment reliability, on-stream availability and, ultimately, oil production. There are currently about 14 such evaporators operating, under construction, or in various stages of delivery in Alberta and overseas. Several of these evaporators produce feedwater for standard drum-type boilers rather than the traditional Once-Through Steam Generators (OTSG) due to the high level of water purity obtainable with the evaporative approach. This paper provides data from operational facilities, including evaporator distillate quality, heat transfer information, fouling rates, cleaning frequencies, energy and chemical consumption, and other technical and operational data. In conjunction with this evaporative produced water treatment process, some facilities have taken the additional step of recovering all liquid waste streams for re-use in the plant, resulting in zero liquid discharge (ZLD). Designing the facility for ZLD eliminates the need for deep well injection, minimizes make-up water requirements and simplifies the permitting process. Introduction The recovery of heavy oil from oil sands formations requires large volumes of water; sometimes three times the amount of water compared to the oil recovered. In steam-assisted gravity drainage (SAGD) facilities, 100% quality steam is injected into the well to heat up the formation and get the heavy oil to flow. Oil and condensed steam are brought to the surface where the oil is separated and the condensate, or produced water, is treated and recycled to produce the steam. This huge water demand and ultimate conversion to steam requires the maximum amount of recycle potential from the water. Produced water derived from oil recovery processes (SAGD and non-SAGD) can be characterized as predominantly sodium chloride brine with high silica and minimal amounts of hardness. High alkalinity is present as well. Overall concentration of the water can range from about 1,000 mg per litre TDS to over 10,000 mg per litre, and there is always some amount of organic material present. The method of converting this water to boiler feedwater must be carefully evaluated, both technically and economically. This paper discusses an evaporative method of deriving high quality boiler feedwater from produced water. A comparison is made to the 'traditional' method of warm (or hot) lime softening combined with weak acid cation exchange (WLS/WAC). A complete evaluation of these two approaches must also include the steam generation equipment. Having high quality boiler feedwater, as derived from an evaporative process, allows the use of drum boilers in lieu of once-through steam generators (OTSG). Since the WLS/WAC system does not produce a high quality water, OTSG must be used as these boilers are more tolerant of poorer quality feedwater.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,161
Score d'incertitude au seuil0,946

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,043
Tête enseignante GPT0,237
Écart entre enseignants0,194 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle