Notice bibliographique
Résumé
Technology Focus I am not here to discuss the process of detailing the optimum completion design. However, I do believe that there is no single parameter to serve as the "rule of thumb" to judge well-completion designs for the life of the field. Earlier this year, I attended the first SPE Unconventional Reservoirs Conference at Keystone Resort and Conference Center, in Keystone, Colorado. Afterward, I attended a workshop presented by Shell Energy Canada and Calgary Research Centre. Both presentations highlighted the emerging and applied technologies in use worldwide for recovery of unconventional hydrocarbon resources. As with all conferences, I had the opportunity to engage in discussion with many world experts from various operating/service companies and academia. After thorough discussions with all parties, I have reviewed an abundant reference list on well completions that use sonic stimulation. Many were anecdotal. Some may argue this was because of the nature of the studies, in which improved production was observed after some coincidental event that may or may not have been responsible for incremental hydrocarbon production. In my opinion, all studies should be scientific, not anecdotal, so long as the sonic stimulation was applied with the intent of enhanced hydrocarbon production. Thorough discussions, backed with research on this subject, ensure that certain aspects of the well's operation, such as safety, availability, and efficient use of equipment inventory, are not overlooked. Many readers will agree that not all well completions achieve this objective. I have found that many unconventional-reservoir failures may not be a function of the manner in which they were designed, but may be simply the result of purely unknown complex reservoir-related mechanisms. I advocate that operating companies use advanced diagnostic procedures that match and predict performance to estimate reservoir potential, well deliverability, and completion efficiency accurately. I believe in focusing on some of the best practices, such as economics (i.e., net present value), as the main driver. Hence, alternative completions such as sonic stimulation may be a viable alternative to reduce workover costs and improve ultimate hydrocarbon recovery. Completions Today additional reading available at the SPE eLibrary: www.spe.org SPE 113106 • "Optimization of Completion Interval To Minimize Water Coning" by M. Tabatabaei, SPE, University of Louisiana at Lafayette, et al. SPE 113670 • "Through-Tubing Inflatable Technology Deployed on a Downhole-Tractor System Provides Real-Time Cost Savings" by Graeme M. Kelbie, SPE, Baker Oil Tools, et al. SPE 108656 • "Harsh-Environment HP/HT Gas-Condensate Production Cleanup Experiences—Kristin Field" by Arild Fosså, Expro, et al. Additional reading available at OnePetro: www.onepetro.org OTC 19341 • "Expandable Screens: Optimized Horizontal Gas Production Through Collaboration" by Alejandro Lopez Lara, Pemex, 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 | 0,000 | 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 ».