Autonomous Drilling Platform - An Enabler for Automated Steering Control and Remote Operations in the Permian
Notice bibliographique
Résumé
Abstract The Autonomous Drilling Platform (ADP) revolutionizes directional drilling by allowing drillers to concentrate on performance-driven tasks rather than routine calculations and activities. The ADP enhances the communication workflow between geosteering and downhole rotary steerable steering settings by employing a systematic approach that integrates new targets, calculates feasible trajectories, and assesses their viability within the constraints of the well design. This seamless integration and automation significantly improve the drilling and steering efficiency of the directional drilling operations. The innovative platform enables real-time wellplan updates, effectively bridging the communication gap between surface parameters, drilling engineering, with its tool limitations and downhole tools automation. The platform facilitates a dynamic and prompt response to changing subsurface conditions, thereby optimizing drilling efficiency and accuracy. The integration of automated calculations and synchronization between surface and downhole automation systems allows field engineers to focus on performance-oriented activities. ADP automatically downlinks the updated directional drilling settings to the downhole tools to execute the revised trajectory. It also provides operators with remote access via a web interface, enabling the monitoring of details pertaining to directional drilling operations from any location worldwide. The ADP was implemented in phases for varying well complexity in the Permian operations in Midland and Delaware Basins. Consistent drilling performance has been a challenge due to inconsistencies in drilling practices, steering control and sub optimal drilling parameters for the target formations drilled. ADP enabled the execution team to focus on drilling performance with an interface that encompasses drilling parameters along with steering control recommendations. The integration of a data workflow enabled remote operations reducing personnel on site while experienced team members execute jobs remotely. With ADP implemented above 80% of the drilling interval showcased better drilling performance and service quality compared to similar complexity wells that had no ADP or lower utilization of ADP during job execution. This innovative platform not only optimizes the drilling process but also enhances safety and reduce costs, marking a new era in the field of directional drilling business This paper describes the Autonomous Drilling Platform which represents a significant advancement in directional drilling technology. That is done by improving communication workflows, integrating automated calculations, and enabling remote operations. The ADP allows field engineers to concentrate on enhancing drilling performance and efficiency. As the industry continues to evolve, the ADP will play a crucial role in driving advancements and setting new standards for operational excellence.
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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 | 0,000 | 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 ».