Notice bibliographique
Résumé
Technology Tomorrow - This is the second-to-last installment in this yearlong series examining R&D needs and potential. This article explores the challenges of applying biotechnology to the oil and gas sector and hints at the possibility of genetically modified organisms to achieve superior results. The current scientific uncertainty on just how future organisms will be included in the global energy picture suggests full speed ahead on the science, with the understanding that the issue of industry acceptance will need to be properly evaluated and managed. The Technology Tomorrow Series, comprising articles published in JPT during 2006 and 2007, is available as a collection on OnePetro (SPE-160929-JPT). Editor's note: This is the second-to-last installment in this yearlong series examining R&D needs and potential. This article explores the challenges of applying biotechnology to the oil and gas sector and hints at the possibility of genetically modified organisms to achieve superior results. The current scientific uncertainty on just how future organisms will be included in the global energy picture suggests full speed ahead on the science, with the understanding that the issue of industry acceptance will need to be properly evaluated and managed. The Technology Tomorrow Series, comprising articles published in JPT during 2006 and 2007, is available as a collection on OnePetro (SPE-160929-JPT). Today the impact of biotechnology is most noticeable in the health and pharmaceutical sectors, chemical industry, and in environmental technologies. The time is coming when it also will play a role in the energy sector. This is the result of progress in two major areas that are likely to have important consequences. The first one is the growing awareness of the major chemical fluxes fueled in the depths of the Earth's crust by the deep biosphere: microorganisms that live without oxygen and form the basis of previously unrecognized element cycles completely different from those that take place at the surface, driven by solar energy and oxygen. The simultaneous presence of minerals, gases, hydrocarbons, and bacteria in the anoxic deep biosphere is the basis of new speculation on carbon cycling in anoxic regions. Microbiologists now have new tools to detect and monitor biological activity in the environment, among which are the powerful techniques of specific DNA amplification and detection, which are best known to nonexperts for their applications in crime forensics. In just about the same way, specific types of bacteria can be detected in minimal amounts from any type of environment and recognized and functionally identified—for example, sulfate recycling bacteria (associated with the souring of reservoirs and oil-extraction systems) living at extraordinary depths and temperatures. The second major field of influence will be biological fuel synthesis and carbon capture from renewables. Interest in these possibilities blossomed and waned in the 1970s, but the area is now experiencing renewed interest, funding, and revival by the exploitation of fast-progressing genomics and bioengineering techniques. This article addresses the relevance and potential of biotechnology applications to the energy industry, envisioning the areas where biotechnology science progress might affect present and future business. Black Energy: Oil, Gas, and Bugs Oil and gas have been part of this planet for so long that the smallest living cells on the surface and in the deep biosphere have evolved ways to feed on them and gain energy, however unpalatable the ingredients might be. Bacterial degradation of crude oil in the reservoir is the cause of the poor quality of oil found in many areas, from the Canadian tar sands to offshore fields. Some of the biochemical pathways of oil hydrocarbon transformation are known, but many remain to be clarified, including mechanisms that might be in action in the reservoirs where temperature is compatible with bacterial life. Recent indications support the possibility of in-situ bioconversion processes of oil to methane and maybe even to other gaseous hydrocarbons. In similar ways to biological conversion of some types of coal to methane, exploitation and acceleration of the natural phenomena could be an interesting alternative to other traditional technologies of energy recovery from difficult sources.
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 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) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».