Simulation of Erosion in Drilling Tools for Oil and Gas Industry
Notice bibliographique
Résumé
Abstract Erosion is a form of wear that will cause loss of material. It has been reported in the drilling tools used in the oil and gas industry, and it can in some cases severely shorten the life of the tools. In spite of its importance, there has been virtually no attention paid to it in drilling engineering research. This paper focuses on the modeling of erosion and the application of the developed models to improve the design of drilling tools. Mechanism of erosion, which is controlled primarily by the impact velocity and angle, has been formulated based on experimental and theoretical work done in material science. Algorithms were developed for transient simulation of the erosion of any surface in 2-D geometry. Based on this, an "Erosion Simulator1" has been written, which is able, in combination with any CFD software, to simulate erosion in down-hole tools. Actual data from TESCO Corporation casing drilling tools2 has been used to calibrate the physics of the process and validate the software. The simulator has been used to modify the geometry of the under-reamer casing-drilling tool, which resulted in a substantial decrease in erosion rate and therefore increase in the life of the tool. Introduction Erosion is a form of material wears that occurs in Nature and several industries. This phenomenon has been reported in many areas of oil and gas operations. An example of erosion in drilling tools is the TESCO Corporation (hereinafter TESCO) "under-reamer" tool for casing drilling1 (Figures 1 and 2). Erosion in the drilling industry is important because it can lead to increase in time and cost of operation. In case of drilling tool failure due to erosion, eroded parts must be replaced. This will cause unexpected extra rig time in order to pull out the drill string and run it with new parts into the well-bore. Besides the cost of operation, erosion may be dangerous. Tool failure can cause blowout and be a potential for loss of lives. This paper focuses on erosion simulation in order to understand and predict erosion phenomena in the drilling tools, with the ultimate goal of improving tool design and extending its life. History of Erosion Research Erosion (i.e., a form of wear) occurs when fluid containing solid particles impacts a solid surface. The intensity of erosion is commonly measured as a specific weight loss (rate of material removal from the surface) and expressed as Er, the weight of material removed by unit weight of impacting particles. During 1960's and 70's a number of important experiments had been done in the area of metal wear that laid the foundation for the current understanding of the phenomena. Erosion experiments during that period covered impact velocities up to 550 m/s and particle sizes of up to 1,000 μm (Tilly3). Different velocities and particles can cause a different type of damage. During this time, scientists and researchers had found the relationship between erosion rate, type of material, size of particles, velocity and angle of impact.
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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 ».