Mechanisms and Application of Viscosity Reducer and CO2-Assisted Steam Stimulation for a Deep Ultra-Heavy Oil Reservoir
Notice bibliographique
Résumé
Abstract Steam stimulation is an essential in-situ technology being used today to improve oil recovery from heavy oil reservoirs, it can be achieved through continuous or cyclic (huff-and-puff) injection or steam assisted gravity drainage (SAGD) process. Although steam injection process associated with horizontal wells(e.g. SAGD) has been successfully applied to improve the oil recovery in heavy oil reservoirs, reservoir depth and minimum pay zone thickness limitations still exist which restrict their application in deep reservoirs with a thickness less than 10 m. In addition, ultra-heavy oil viscosity (> 12×104 mPa•s at a reservoir temperature of 68~71 °C) challenges the conventional thermal recovery methods in such deep thinly laminated formations. In this study, a novel hybrid technology is proposed on the basis of combining the steam injection process with the viscosity reducer and CO2 injection to improve the ultra-heavy oil recovery in a deep thinly laminated reservoir. The improved oil recovery mechanisms for hybrid methods are experimentally studied through physicochemical characterization of ultra-heavy oil, viscosity reducer, CO2, and steam multisystem mixtures. More specifically, the viscosity, SARA (saturate, aromatic, resin, and asphaltene) content, molecular weight, aromaticity, and asphaltene structure parameters of five different multisystem mixtures are determined through a magnetic stirring autoclave and a viscosimeter, SARA analysis, molecular-weight measurements, and nuclear magnetic resonance (NMR) spectrometer, respectively. In addition, a total of 16 core flooding experiments are carried out to thoroughly study the performance of steam stimulation associated with viscosity reducer and CO2 injection in ultra-heavy oil formation. Orthogonal array technique is applied to determine the optimum injection volume of steam, viscosity reducer, and CO2. Furthermore, the performance of application of hybrid methods in Zheng 411 ultra-heavy oil reservoirs of Shengli Oilfield is evaluated. The viscosity reduction caused by adding oil-soluble viscosity reducer and CO2 into the steam are particularly favorable for achieving a higher heavy oil recovery compared with pure steam injection process. It is found that 84.38% viscosity reduction ratio can be achieved when steam is injected into heavy oil together with viscosity reducer and CO2. Physicochemical characterization of mixtures proves that the viscosity reduction mechanisms for hybrid methods are synergetic effects, which combine the asphaltene decomposition caused by adding viscosity reducer with physical viscosity reduction mechanisms caused by CO2 and steam. In addition, the steam injection pressure can be significantly decreased through CO2 injection process. Experimentally, this study also discovers that the optimum injection volume for steam, viscosity reducer, and CO2 is 2.5 pore volume (PV), 1.5 wt%, and 0.2 PV, respectively. Slug injection is the optimum process for viscosity reducer/CO2/steam systems. The viscosity reducer and CO2-assisted steam huff and puff process has been successfully tested in a deep thinly laminated reservoirs in Shengli Oilfield.
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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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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
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