The assessment and evolution of offshore gas hydrate deposits using seafloor controlled source electromagnetic methodology
Notice bibliographique
Résumé
Natural gas hydrates are ice-like solids that occur worldwide in seafloor sediments typically along active continental margins. They consist of gas molecules, mainly methane, contained in a cage-like, clathrate structure of water molecules. They form under low temperature and high pressure conditions, typically offshore in the uppermost few hundred metres of sediment in water depth exceeding about 500 m. The global abundance of methane frozen in hydrate exceeds the amount of all other known fossil hydrocarbon resources. Gas hydrates are a source of a large volume of methane gas and are recognized as an important possible future energy resource. Marine controlled source electromagnetic (CSEM) methods, sensitive to variations in resistivity, have become an important and valuable tool in the detection of offshore hydrate Hydrate is a resistive target. It increases the formation resistivity of a sediment layer if it forms in sufficient quantity to block previously interconnected pore spaces. Controlled source electromagnetic (CSEM) methods depend on a simple concept of physics. If a time varying EM field is generated at or near the seafloor, then eddy currents are induced in the sea water and subjacent crust in accordance with Faraday's law. The outward progress of the currents with time depends on range and electrical conductivity of the surroundings. In particular, the apparent speed in the sea water will be slower than that in the less conductive crustal zones. Measurements at a remote location of the electric and magnetic fields associated with the eddy currents may be inverted for the crustal resistivity structure including local anomalous concentrations of hydrate. Our CSEM system has been used successfully to map hydrate on the Cascadia Margin, to the west of Vancouver Island, British Columbia. The area, a convergent margin, is the focus of intensive studies on gas hydrates which have been identified on seismic sections, by direct sampling and from the analyses of cores and logs collected by the Ocean Drilling Programs. It has also been used in New Zealand in a similar geologic setting. The next stage in the research is the monitoring of one of more deposits as a function of time in this case several years. The objective is the understanding of how hydrate is formed and how it evolves. It requires the installation of equipment on the seafloor which is locally powered and which can communicate with an onshore base. Neptune Canada provides the infrastructure for the experiment. It is a Canadian subsea observatory network consisting of a cable linking several nodes to a terminal on Vancouver Island. The cable carries power and high speed ethernet interconnectivity. Instruments, including the CSEM apparatus have been connected to the nodes and data may be collected from them in real time. The CSEM array spans a known gas hydrate deposit. The engineering of both the network and the CSEM system is described together with a numerical model study.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| 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 | 0,001 | 0,001 |
| 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 source (Gemma direct ou Codex distillé), 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 ».