North Slope Heavy-Oil Sand-Control Strategy: Detailed Case Study of Sand Production Predictions and Field Measurements for Alaskan Heavy-Oil Multilateral Field Developments
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Résumé
North Slope Heavy-Oil Sand-Control Strategy: Detailed Case Study of Sand-Production Predictions and Field Measurements for Alaskan Heavy-Oil-Multi-Lateral Field Developments Robert C. Burton; Robert C. Burton ConocoPhillips Search for other works by this author on: This Site Google Scholar Lee Chin; Lee Chin ConocoPhillips Co Search for other works by this author on: This Site Google Scholar Eric Robert Davis; Eric Robert Davis ConocoPhillips Alaska Inc. Search for other works by this author on: This Site Google Scholar Milton Bock Enderlin; Milton Bock Enderlin ConocoPhillips Search for other works by this author on: This Site Google Scholar Giin-Fa Fuh; Giin-Fa Fuh ConocoPhillips Search for other works by this author on: This Site Google Scholar Richard M. Hodge; Richard M. Hodge ConocoPhillips Search for other works by this author on: This Site Google Scholar Rico Ramos; Rico Ramos ConocoPhillips Search for other works by this author on: This Site Google Scholar Phil VanDeVerg; Phil VanDeVerg ConocoPhillips Search for other works by this author on: This Site Google Scholar Michael Werner; Michael Werner ConocoPhillips Search for other works by this author on: This Site Google Scholar William Lloyd Mathews; William Lloyd Mathews BP Exploration Alaska Inc Search for other works by this author on: This Site Google Scholar Sean David Petersen Sean David Petersen BP plc Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, October 2005. Paper Number: SPE-97279-MS https://doi.org/10.2118/97279-MS Published: October 09 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Burton, Robert C., Chin, Lee, Davis, Eric Robert, Enderlin, Milton Bock, Fuh, Giin-Fa, Hodge, Richard M., Ramos, Rico, VanDeVerg, Phil, Werner, Michael, Mathews, William Lloyd, and Sean David Petersen. "North Slope Heavy-Oil Sand-Control Strategy: Detailed Case Study of Sand-Production Predictions and Field Measurements for Alaskan Heavy-Oil-Multi-Lateral Field Developments." Paper presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, October 2005. doi: https://doi.org/10.2118/97279-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractThe North Slope of Alaska has billions of barrels of heavy oil residing in largely undeveloped reservoirs.Despite this large volume of heavy oil in place, the majority of reserves development on the slope to date has been focused on light crude.However over the past 20 years Arco, BP, Conoco and now ConocoPhillips have begun to develop the North Slope's vast heavy oil resource base.Recently a sand/solids control study was undertaken by ConocoPhillips and BP in order to determine the most economic strategy for solids control and well design in future heavy oil developments.The study was integrated across companies, organizations and discipline boundaries in order to include completion, rock mechanics, laboratory research, drilling, reservoir, geological, operations, facilities and field personnel.With this diverse team, actual solids production and solids predictions were investigated from a number of different perspectives. Solids production predictions were made based on core measurements, log analysis, simulators that predict formation failure and sand production rate, laboratory core flow tests, 2 years of field shakeout data, and multiple field measurements of solids production.Probabilistic predictions were then generated based on these investigations rather than deterministic "best guesses" for the economic analysis.These different methods for predicting solids production will be discussed and illustrated in this case study.The study and ensuing strategy determined that sand management or using non-sand exclusion slotted liners and sand tolerant facilities was the highest value development scenario over the life cycle of the North Slope Heavy Oil Developments. Keywords: sand production rate, rock strength, strength, upstream oil & gas, completion installation and operations, west sak, conventional well, artificial intelligence, reservoir characterization, sand rate Subjects: Drilling Operations, Reservoir Characterization, Formation Evaluation & Management, Directional drilling, Perforating, Completion Installation and Operations, Sand Control, Completion Operations This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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 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 | 0,001 | 0,002 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».