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Enregistrement W4256555111 · doi:10.1306/13201169m892598

Characterization of a Sediment Core from Potential Gas-hydrate-bearing Reservoirs in the Sagavanirktok, Prince Creek, and Schrader Bluff Formations of Alaska's North Slope

2009· book-chapter· en· W4256555111 sur OpenAlexaff
Richard Sigal, Chandra Rai, Carl Sondergeld, Bryan M. Spears, W. J. Ebanks, W. D. Zogg, N. Emery, G. McCardle, R. Schweizer, W. G. McLeod, J. Van Eerde

Notice bibliographique

RevueAmerican Association of Petroleum Geologists eBooks · 2009
Typebook-chapter
Langueen
DomaineEnvironmental Science
ThématiqueMethane Hydrates and Related Phenomena
Établissements canadiensAlberta Oil Sands Technology and Research Authority
Organismes subventionnairesnon disponible
Mots-clésMemoirClathrate hydrateGeologyArchaeologyEarth scienceHistoryArt historyHydrateChemistry

Résumé

récupéré en direct d'OpenAlex

Abstract The Anadarko Hot Ice 1 well was cored as part of a project to study the occurrence of gas hydrate on the North Slope of Alaska. The observations and measurements made at the drill site along with the subsequent core analysis are described in five individual reports published in this Memoir. This report deals with the nuclear magnetic resonance (NMR) measurements made on the recovered core from the Hot Ice 1 gas-hydrate research well. Samples from sands recovered during phase I of the coring of the Hot Ice 1 well came from the permafrost zone. The NMR measurements were conducted on frozen core samples, samples in which the ice was allowed to completely melt, and samples that were cleaned, dried, and resaturated with brine. Not all measurements were done on all samples. For the low-field-strength system used to measure the NMR response, only hydrogen nuclei in unfrozen fluid contribute to the signal. Four core-derived samples were measured at a temperature of −5°C (23°F). They had NMR porosities of 7.1% (37% core-derived He porosity), 9.4% (40% core-derived He porosity), 9.8% (42.4% core-derived He porosity), and 11.6% (31.6% core-derived He porosity). The NMR spectra for all the frozen samples were very similar. The NMR porosities represent the percentage of the sample volume containing unfrozen brine. The He porosities were measured on cleaned and dried core plugs. Four models for the way ice could form when the unfrozen sample is frozen where investigated. For each model, the frozen NMR spectra were computed from the unfrozen spectra. None of the models provided a satisfactory match to the measured frozen spectra. An anomalous result of the study was a significant difference between NMR spectra measured on melted samples and the measurements done after cleaning and resaturation with brine. The differences are essentially a shift to slower relaxation times for the resaturated samples without any change in the shape of the spectrum. The simplest explanation for this is a reduction in surface relaxivity produced by cleaning and resaturation. For most sedimentary sandstones, the NMR geometrical mean decay time combined with porosity can be used to predict permeability. For the phase I recovered sandstones, the prediction is worse than commonly seen. Also, a commonly used default formula provides a very poor fit to the data and underestimates the permeability on average by a factor of 25. This suggests a much larger surface relaxivity than commonly seen. The phase I recovered sands, when water saturated, exhibit five different spectrum types. Most of the samples fall into the first two identified types, which differ only in the presence of a small percentage of faster relaxing small pores in type 2 and their absence in type 1. The unconsolidated sand samples recovered in phase II were recovered from unfrozen sediments. The NMR was done only on cleaned and dried samples. They had very similar spectra classes as the phase I samples. Unlike the phase I samples, an excellent permeability estimate can be obtained from the NMR measurements. It has the same form as the standard estimator, but the multiplicative constant is about 12 times the value used in the standard estimator. This is very likely caused by a much larger than normal surface relaxivity or large internal magnetic gradients.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,190
Score d'incertitude au seuil0,926

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,205
Écart entre enseignants0,195 · 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 tête enseignante, 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

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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