Electro-Thermal Pilot in the Athabasca Oil Sands: Theory Versus Performance
Notice bibliographique
Résumé
Abstract From September 2006 to a August 2007, a proof of concept test of ET-DSP ™ (Electro-Thermal Dynamic Stripping Process) was completed by E-T Energy Ltd. A numerical simulation study was done prior to the field test to quantify performance metrics, such as the amount of water usage per m3 of produced oil, the energy input requirements, kW-hr/m3 of oil (i.e. an equivalent Steam Oil Ratio value), green house gas emissions, drilling performance, operating costs, and process facility design. Field performance met or exceeded expectations. The recovery factor was greater than 75%, the energy requirement per m3 of oil produced was 23% less than calculated and peak production rates were greater than expected. The water oil ratio was one with no green house gas emissions in heating the oil. An insignificant volume of sand was produced and the oil recovered had very little to no emulsions. A comparison of the data with theory reveals that not all the drive mechanisms were considered in the initial numerical simulation. One of the more significant is the contribution of associated gas. Albeit in relatively small amounts, the gas evolving from the bitumen with rising temperature displaced the bitumen from the pore volume and accelerated recovery from the production wells. Introduction Electrical-thermal heating of the Alberta oil sands has been studied since the early 1970's [1],[2],[7],[6],[8],[4]. Heat is created in the bitumen reservoir as electrical current passes through the connate water as depicted in Figure 1. At low frequency, the reservoir behaves like a resistor, and the conversion of electrical energy to heat is by ohmic losses. This paper compares data from a pilot test of the Electro- Thermal Dynamic Stripping Process, ET-DSP ™ process [4] with numerical simulation (details are published in reference [5]. Construction and operations of the test was carried out from September 2006 to August 2007. The objectives of the proof of concept are to:Determine the percent Recovery Factor, Ro,Establish the Energy Oil Ratio (EOR), i.e., the kWh/bbl of produced bitumen.Determine the water consumption on a per barrel of produced bitumen, Water Oil Ratio m3/m3, (WOR),Confirm numerical simulation temperature predictions, AndDevelop equipment and facility design basis, well completions, operating procedures, and economic parameters for commercial development. Table 1 summarizes the comparison between numerical model predictions and results from the pilot test. The recovery factor achieved in the proof of concept was within the model prediction. The energy consumption was less than the model predicted by 23%. Converting the energy in terms of an equivalent Steam Oil Ratio, SORe = 0.49, or a Net Energy Ratio (NER) of 30 times more energy produced in the bitumen than used to produce it. The ratio of water used per produced barrel of bitumen was predicted to be one; slightly less than one was achieved in the proof of concept. A comparison of the modeled and actual temperature response at observation well (OB05) is shown in Figure 2. OB05 is located approximately mid way between the electrode wells.
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 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 | 0,000 | 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 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».