New Approach for Determination of Bitumen and Water Contents in Tar Sands
Notice bibliographique
Résumé
Abstract A new interpretive algorithm has been developed for bitumen spectra analysis in tar sands. This algorithm utilizes Low Field NMR method for measurements. With the use of appropriate basic components spectra database the algorithm extracts information on bitumen contents, immovable and movable water saturations. The basic components spectra database can be built by analysis of spectra for similar types of rock or by analyzing representative set of samples from the field under study. Representative set of bitumen spectra in the bulk is also included into this database. Application of methods of multivariate analysis made it possible to differentiate between samples coming from different geological formations without any a priori knowledge about these formations. The algorithm has been tested by comparison with the results of direct measurements of bitumen/water contents carried out on an exam set of 30 samples. All the NMR results are within the measurement uncertainty of the direct measurements. Having an advantage of rapidity of processing with high reliability and accuracy this non- destructive NMRbased approach can be a vital alternative to standard direct measurements (solvent extraction) in situations, where the above-mentioned qualities of the method are crucial. Introduction The oil reserves presented by heavy oils and bitumen are accounted for roughly 6 trillions barrels, accumulated in oil bearing deposits around the world. The majority of these reserves are lumped in Canada, the Former Soviet Union, Venezuela and Nigeria2. The recent five years developments in NMR research offer number of methodological approaches and formal lgorithms for laboratory and field NMR applications used for bitumen/water contents characterization in bulk volume (stable-emultions2,3) and in porous media (laboratory and in-situ measurements4,5,6). The terms bitumen as used in those papers refers to hydrocarbons with viscosity values 1,000 cp -10,000 cp and higher at ambient temperature conditions °(20OC- 30OC). The real NMR application for bitumen/water content determination in porous media can be affected by uncertainties related to hardware problems and problems related to application of the misinterpretive algorithms and software. The experimental results demonstrate that NMR response from bitumen in porous media is similar to signals from capillary bound water5,6. The polar components from bitumen, asphaltenes first of all, can influence process of wettability alteration. The wettability alteration leads to un-proper usage of the popular interpretive models7 and caused misinterpretation from conventional logs and NMR Logs6. The laboratory NMR experiments performed at different temperatures5 demonstrate that ∼95% of total amplitude of NMR signal recorded from bitumen is related to spectral bins presented in frame of T2<1ms. Therefore impossibility to deliver whole NMR signal representing bitumen in porous media is caused by hardware limitation (long Time-to-Echo [TE] in MRIL tool) or can be affected by in-situ conditions. Investigation of bitumen content in totally invaded near-wellbore zone is usual for CMR tool application. This kind of situation leads some authors to conclusion about difficulties to quantify heavy hydrocarbons' content in porous media from NMR measurement alone6.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| 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) | 0,000 | 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 tête enseignante, 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 ».