Notice bibliographique
Résumé
Like other segments of the oilfield services industry, the US onshore pressure pumping space looks very different compared with a couple of years ago. Decreased demand during the downturn forced some pumpers out of business and spurred consolidation, resulting in high personnel turnover in the field. Meanwhile, exploration and production (E&P) companies are drilling longer laterals faster and expecting similar efficiencies from pressure pumpers. Hoping to get the absolute most out of their wells, operators are intensifying completions by using more stages, water, and frac sand. Now, with oil prices higher, E&Ps more focused on cash flow, and a growing count of wells awaiting completion, demand for pressure pumping is increasing fast, creating a race for horsepower among a leaner group of opportunistic firms hoping to gain market share. This includes the rise of large integrated, pure-play, and regional pressure pumpers and less use of integrated well services that include a full suite of completions work. Market research firm Energent, part of research and consultancy Westwood Global Energy Group, estimates that US onshore pressure pumping horsepower during the first quarter totaled 17 million with a utilization rate of 83%, and it expects an additional 3.5 million hp to come online this year—primarily newbuilds—with many more currently being ordered. For comparison, total horsepower in the first quarter of 2015 was just less than 12 million with 61% utilization, according to Energent data. Much of the unused horsepower that was able to be refurbished has been redeployed. Given expected lead time in delivery of new equipment, a surge of fleets is expected to be deployed by late summer, assuming oil prices hold in the mid-$60/bbl and demand remains strong, said Todd Bush, Energent Group vice president, commercial, North America research. “We know of several companies that are already adding pumps and making larger orders for fluid ends and power ends,” which will most likely be filled in by late summer, he said. Transmissions and fluid ends have had longer back-logs compared with late last year. There also have been bottlenecks for pumps. But Bush expects manufacturers in those areas, especially for pumps, “to be pretty aggressive coming back for all the pressure pumpers to be able meet their E&P demands.” Alex Yang, senior analyst of shale research at consulting service Rystad Energy, has observed that many equipment manufacturers now “are at capacity doing refurbishments rather than newbuilds.” He noted that “a lot of the cold-stacked equipment was cannibalized or not maintained correctly while in the yard” after demand plunged during the downturn.
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 | 0,001 | 0,000 |
| 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 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 ».