Design and Development of an Engineering Drilling Simulator and Application for Offshore Drilling for MODUs and Deepwater Environments
Notice bibliographique
Résumé
Abstract Unmitigated vibrations in drillstrings, Bottom Hole Assemblies (BHA) and related drilling components can cause significant financial losses and safety problems for drilling in deepwater environments. A drilling laboratory has been developed at Memorial University to study the effect of vibration on drilling performance. The distinctive capability of the simulator is that it utilizes closed loop control of hydraulic actuator, pneumatic actuators and variable speed motors to simulate complex drillstring, bit-rock, and drilling rig interactions that translate to axial and torsional vibrations and compliances. For offshore drilling simulation, the facility can apply low-frequency heave vibration as experienced by offshore drilling units, and higher-frequency vibration arising from drillstring motions, downhole tools or bit-rock interaction. The laboratory apparatus has a short, very stiff drillstring due to space constraints; however, the simulation system is able to re-create vibration arising from a much more compliant significantly longer drillstring, potentially thousands of meters in length. Hardware-in-the-Loop (HIL) system is designed as follows to make the laboratory drillstring behave like the lower portion of a deep-well BHA. A load cell records dynamic bit-rock interaction force, and uses it as the input to a high-fidelity nonlinear computer model of a full drillstring. The computer model predicts resulting bit motion, and the laboratory drill rig actuators apply that motion to the physical bit. If a deep well drillstring would be exhibiting bit bounce or stick-slip under certain conditions, then the bit in the laboratory will have the same motion. The effect of vibration mitigating measures such as changing WOB or RPM can then be investigated. Prior to implementation into the physical apparatus, the HIL, drillstring computer model and control algorithms were tested and refined through control simulation, as outlined in this paper. For these simulations, the physical rig is represented by a computer model, the "virtual rig". The virtual rig bit force is recorded and used to drive the deep-well drillstring simulation, which returns a predicted bit position at each time step. A controller generates a command signal to the virtual rig hydraulic actuators to drive the bit to the desired position. The results show that the short, stiff laboratory drillstring behaves like a deep well drillstring through use of HIL. The usage of the physical drilling simulator is expected to answer industry and academia questions on drilling vibration issues, mitigation measures for which would be impractical, if not impossible, to test through full-scale field trials. The authors feel that the drilling laboratory system and controller, for which the proof-of-concept is validated in this paper, is unique in its capability to integrate dynamic models of BHA, drill pipe, Mobile Offshore Drilling Unit (MODU) subsystems, and ocean environmental conditions in an HIL environment.
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 | 0,000 | 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 ».