Notice bibliographique
Résumé
Technology Focus As throngs of people crowd the car dealerships eager to buy hybrid or electric vehicles to stop using fossil fuels to drive their cars, I reminisce about the good old days when hydrocarbons ruled the world of energy. Oh, wait, that is the start of my upcoming novel! Renewable energy and nuclear power are the world’s fastest-growing energy sources, each increasing 2.5% per year. However, it is estimated that fossil fuels will continue to supply nearly 80% of world energy use through 2040. Natural gas is the fastest-growing fossil fuel, as global supplies of tight gas, shale gas, and coalbed methane increase. Rising prosperity in China and India is a major factor in the outlook for global energy demand. This is great news for our industry because it forces us to continue finding new resources to meet the world’s demands. The massive deepwater reservoirs seem to have been discovered and are, for the most part, in the field-development and production phases. The unconventional reservoirs open new possibilities. Although the term is used indiscriminately for rocks that exhibit permeability values in the nano- to microdarcy range, these unconventional reservoirs fall into various categories that must be exploited differently. Common practice is that massive fractures are required to stimulate hydrocarbon production. But, in many developed countries, the mere mention of the word “fracturing,” or “fracking,” sends shivers down the collective spine of the general population to the point that governing bodies have simply prohibited such practice. Thus, the reservoirs remain unproduced. And they will remain so unless new technologies are developed or the public is eventually educated on the benefits and safety of this procedure. In the meantime, shale gas and coalbed methane, or coal-seam gas, continue to gain acceptance in countries other than the US, where most of the initial techniques have been tested with reasonable success. Interest in exploiting these types of reservoirs has gained momentum in places such as Australia, Argentina, China, Canada, Russia, and even the Middle East. Allow me to say that this is not a comprehensive list; other countries are also opening the doors for companies to find, develop, and produce hydrocarbons from these reservoirs. During the last year, a large number of publications have dealt with testing unconventional reservoirs. Although it was difficult to select three articles from the many manuscripts, I hope that the three chosen convey the interest in these reservoirs and the clever use of well-test data to add knowledge into understanding the producibility of these reservoirs. Finally, let me remind the interested reader that many other articles on this subject are available in the OnePetro library. JPT Recommended additional reading at OnePetro: www.onepetro.org. SPE 164349 Innovative Single-Phase Tank Technology for In-Situ Sample Validation Enhances Fluid-Sampling Technology by Francisco Galvan Sanchez, Baker Hughes SPE 164482 Inferring Interwell Connectivity in a Reservoir From Bottomhole-Pressure Fluctuations in Hydraulically Fractured Vertical Wells, Horizontal Wells, and Mixed Wellbore Conditions by Anh V. Dinh, Schlumberger, et al. SPE 166074 In-Situ Poisson’s-Ratio Determination From Interference Transient Well Tests by Mojtaba P. Shahri, The University of Tulsa, et al. IPTC 16711 Deepwater Reservoir Characterization Using Tidal Signal Extracted From Permanent Downhole Pressure Gauge by Xingru Wu, University of Oklahoma, et al.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».