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Enregistrement W4245207947 · doi:10.2523/78971-ms

Addressing the Clay/Heavy Oil Interaction When Interpreting Low Field Nuclear Magnetic Resonance Logs

2002· article· en· W4245207947 sur OpenAlexafffundabout
F. Manalo, J. Bryan, A. Kantzas

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueNMR spectroscopy and applications
Établissements canadiensUniversity of Calgary
Organismes subventionnairesCanada Research ChairsUniversity of Calgary
Mots-clésCitationLibrary scienceComputer science

Résumé

récupéré en direct d'OpenAlex

Addressing the Clay/Heavy Oil Interaction When Interpreting Low Field Nuclear Magnetic Resonance Logs F.P. Manalo; F.P. Manalo University of Calgary, TIPM Laboratory Search for other works by this author on: This Site Google Scholar J.L. Bryan; J.L. Bryan University of Calgary, TIPM Laboratory Search for other works by this author on: This Site Google Scholar A. Kantzas A. Kantzas University of Calgary, TIPM Laboratory Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. Paper Number: SPE-78971-MS https://doi.org/10.2118/78971-MS Published: November 04 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Manalo, F.P., Bryan, J.L., and A. Kantzas. "Addressing the Clay/Heavy Oil Interaction When Interpreting Low Field Nuclear Magnetic Resonance Logs." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. doi: https://doi.org/10.2118/78971-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractLow field nuclear magnetic resonance (NMR) in the form of logging tools, bench top analysers or on-line sensors has shown tremendous promise for the interpretation of logs and subsequent characterization of heavy oil and bitumen reservoirs as well as the evaluation of recovery efficiency. The key for this success is the ability to identify properly the NMR response of the heavy oil and bitumen components of the spectra. Contrary to earlier belief on this topic, NMR can detect at least part of the response of heavy oil and bitumen either down-hole or in the production line. The majority of the spectra for heavy oil and bitumen samples are detected at relaxation times less than 10 ms. In clay free sands this spectrum is quite clear and the response of the NMR interpretation algorithms is accurate. However, the spectra of sand containing clays show clay bound water to be in the same range as bitumen. Not properly accounting for the contribution of the clay bound water in NMR spectra results in the overestimation of oil or bitumen content of a given formation. This paper presents experimental results of heavy oil samples and also the spectra of clay bound water for common clays found in Alberta and Saskatchewan. After the spectra are compared independently, sand packs containing different amounts of clay and bitumen are prepared and their NMR spectra are obtained. Patterns of spectra overlapping are identified and a preliminary clay bound water prediction algorithm is presented. This algorithm allows for the separation of the oil contribution from the total NMR spectrum. Examples from different formations illustrate the process by which NMR can be used to determine the oil saturation in different Alberta formations.IntroductionNuclear magnetic resonance (NMR) logging tools have been used in numerous applications within the petroleum industry. In addition to porosity and permeability determination, NMR has been used to analyse heavy crude oils, analogous to the saturates-aromatics-resins-asphaltenes test1, composition determination of oil/water emulsions3,4. NMR spectra contain a vast amount of information but present NMR logging tools are incapable of detecting the complete spectrum from heavy oil and bitumen formations, which has made characterization attempts problematic. While high field NMR can overcome this problem, it is not possible to implement this technology downhole or in water/oil/solids mixtures. Low field is more appropriate for analysis of porous media because the lower field gradient minimizes the possibility of data degradation over the course of the measurement5. While fluids produce characteristic spectra, amplitude peaks for heavy oil and clay bound water appear at similar relaxation times (T2), making it difficult to differentiate between the oil and water signals from a sample that contains both fluids6. This makes the T2 cutoff method7, implemented by many, impossible to use because the assumption that the signal below the T2 cutoff value is due to oil alone is wrong. Some of the signal below the T2 cutoff is due to water bound to clays. Making the distinction between amplitude signals due to oil and clay bound water is important for determining oil and water saturations. Attempts have been made to separate oil and water signals by using multiple time-echo (TE) values8 but this is not applicable for heavy oil and bitumen. Others have tried utilizing dual wait-time to separate signals7 however this is not applicable for use on heavy oil or bitumen samples with clay bound water.The purpose of this paper is to determine the effect of clay content and type on NMR spectra of brine and/or heavy oil in clay/sand mixtures. The results obtained from these experiments were used to formulate an algorithm for differentiating between clay bound water and bulk heavy oil in NMR logs. The ability to do so would enable one to determine oil and brine saturation in samples containing heavy oil and clay bound water, thus increasing the value of using NMR logging tools in the petroleum industry. Keywords: heavy oil, clay sand mixture, brine, clay concentration, composition, clay content, saturation, relaxation time, well logging, upstream oil & gas Subjects: Formation Evaluation & Management, Open hole/cased hole log analysis This content is only available via PDF. 2002. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference You can access this article if you purchase or spend a download.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,080
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,069

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,080
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0040,002
Études des sciences et des technologies0,0020,001
Communication savante0,0050,005
Science ouverte0,0020,002
Intégrité de la recherche0,0040,002
Charge utile insuffisante (le modèle a refusé de juger)0,0210,011

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.

Tête enseignante Opus0,026
Tête enseignante GPT0,315
Écart entre enseignants0,289 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2002
Routes d'admission3
Résumé présentoui

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