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
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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 ».