Low Carbon Emission Polymer Flooding in Heavy Oil Reservoirs: Mechanisms Learnings from Typical Field Tests
Notice bibliographique
Résumé
Summary More than 70% of the global reserve were in heavy oil reservoirs. The huge energy intensity and CO2 emission makes current thermal production of heavy oil less attractive in the era of carbon neutrality. The comparison of polymer flooding and steam flooding showed that while steam injection can achieve much higher recovery than polymer flooding, polymer flooding has wider application scenarios, lower operating costs and less capital input. Various studies have shown that polymer flooding can get an additional oil recovery of up to 20% original oil in place (OOIP). Commercial application of polymer flooding in Pelican Lake (Canada), Shengli and Bohai has shown the benefit of increasing oil production and reducing water injection and production, which in turn reduced the CO2 emission significantly. The low carbon emission nature of polymer flooding was recently verified by various studies. However, the mechanisms of polymer flooding were less understood for heavy oil reservoirs due to various reasons. First, the polymer flooding mechanism regarding viscoelasticity effect in lab and reservoir was still in development. The classic capillary number theory was noticed great drawback because of invalid assumptions ( Guo et al, 2021 ,Transport in Porous Media). Some mechanisms were misunderstood. Second, the high mobility contrast between heavy oil and water and/or polymers makes the effective sweep at different places difficult. The problem of many EOR ideas such as chemical viscosity reducers and even hot steam was how to contact viscous oil in reservoirs. Finally, the reservoir complexity makes polymer flooding more difficult to get desired benefit at least due to the crossflow between layers. Some good laboratory tests can give to erroneous results in actual oilfields due to the scale differences (pore scale, core scale and reservoir scale) which were one of the most challenging parts in upscaling. Various polymer flooding field tests were reviewed and one polymer flooding application Gucheng in China was discussed. Gucheng polymer flooding has shown the limited contribution of high concentration high molecular weight viscoelastic polymer on oil recovery. By contrast, the low viscosity polymer solution worked very well in heavy oil reservoirs (Canada, USA). One important finding was the mild viscosity can get balance between productivity and mobility control. Polymer flooding in heavy oil reservoirs was different from in conventional reservoirs. As long as water flooding works, polymer flooding works better in heavy oil reservoirs.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| 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 | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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
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Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».