Approaches to Cold Heavy Oil Production Workover Practices and Strategies
Notice bibliographique
Résumé
Abstract Various workover methods for re-establishing oil production in heavy oil wells that are co-producing large quantities of sand have evolved in the last 20 years in Canada. Operators interested in profitable extraction from unconsolidated sands must pay particular attention to workover strategies, as these comprise a substantial part of the operating costs. Workover methods that apply large physical perturbations to the wellbore region and the surrounding reservoir appear to be the most successful in re-establishing production, but are more costly. Thus, a staged approach using cost-benefit estimates based on the behavioral history of individual wells and fields is the best approach for well workover planning. The need for comprehensive well reviews and autopsies, careful data collection, and history-based probable-cause analysis is fundamental, as there are no strong theories that can predict a priori which workover method is most likely to be cost-effective. Introduction CHOP (Cold Heavy Oil Production) is the method of producing heavy oil from unconsolidated sandstones by encouraging sand influx. It has been slowly but successfully implemented in more and more Canadian heavy oil fields (500 - > 10,000 cP; 400–900 m deep, 15–33 ∼C, 4 - >25 m thick, Ø ∼0.30, So ∼ 0.85, no free water leg or extensive gas cap) over the last 20 years, as operators have gradually evolved better methods of producing the well, to dispose of produced sand and fluids, and to re-establish well productivity (workovers). New well development is now almost exclusively based on PCPs (Progressing Cavity Pumps). These were introduced in the early 1980's and have undergone great improvements based on practical factors associated with the need to lift mixtures of oil, gas, water and sand reliably for many months. PCPs have solved the lifting problem: slurries with up to 60–70% sand by weight can be reliably produced for months, although such high concentrations generally only occur immediately after initial completion, a workover, or prior to water break through. (Note that expressing the sand percent by volume of fluids entering the pump is difficult because the free gas volume in the fluid at the bottom-hole pump intake is generally unknown.) Typically, a good CHOP well will produce from 1 to 8% sand by weight of produced slurry for months and even years. The problem of sand management has also been solved by gradual practical developments in the heavy oil fields around Lloydminster (Figure 1). Produced slurry is fed immediately into vertical gravity separators that are essentially insulated 100–150 m3 stock tanks heated to ∼60–80 ∼C. At this temperature, the sand settles out of the oil, dissolved methane evolves, water and oil stratify, and the stock tank is periodically drained of liquids and bottom sand. Sand is disposed of in various ways: by cleaning, by landfilling, by placement in dissolved salt caverns, by road spreading or by Slurry Fracture Injection ™ (SFI ™). An entire sub-industry to handle sand has developed in the Lloydminster area. Heavy oil production using CHOP is now about 250,000 bbl/day; this could be easily doubled in a year if upgrading capacity was available.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,005 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,007 |
| Communication savante | 0,007 | 0,003 |
| Science ouverte | 0,004 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
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.
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».