Optimization of Well Placement and/or Borehole Trajectory for Minimum Drilling Cost (A Critical Review of Field Case Studies)
Notice bibliographique
Résumé
Abstract This paper provides a brief explanation of the factors that affect optimal well placement and/or borehole trajectory and how these factors can be controlled or selected to give optimized well trajectories. Review of some of the general techniques used in achieving optimal well placement and/or borehole trajectory, with a view to minimizing drilling cost, are presented and some field case studies/field examples selected from literature are given. Limitations of some of these techniques are also discussed. Introduction Drilling of wells for optimal placement within the reservoir or target is one of the most important challenges in modern day drilling problems. The cost associated with drilling operations can run into several millions of dollars in land, swamp and offshore environments. With the advent of deep-offshore drilling, with its associated higher cost, the need for optimal well placement cannot be over-emphasized. Good drilling practices and planning, that bring about accurate or near accurate well placement or accurate borehole trajectory tracking can significantly reduce drilling cost by eliminating the need to plan or drill additional wells. Several factors come into play during drilling that can affect optimal well placement or well trajectory. Many of these factors can be controlled easily while others are particularly difficult to control. Also, a previous knowledge of the drilling environment, in terms of formation type, BHA behaviour and hole stability, can be helpful in making better planning for optimal well placement. Previous knowledge can be used to simulate well trajectory torque, BHA frictional resistance, expected build or turning rate, etc. Planning for a directional or horizontal well encompasses hitting the target point(s) with precision and accuracy at low cost. Factors to be considered include; well total depth, target inclination and direction, curvature and turning sections, and kick-off points. Other issues include the type of tools used in monitoring and the error associated with such tools, method of well planning and how the well is actually drilled. The purpose of this paper is to briefly discuss factors that affect optimal well placement and/or borehole trajectory and review several techniques, available in the literature for optimizing well placement and/or borehole trajectory. Some relevant field case studies/field examples are also discussed in the paper. Factors that Affect Well Placement Many factors that affect bore hole trajectory and accurate well placements are directly related to the factor affecting hole angle and inclinations. These include the type of bottom hole assembly (BHA) in terms of size and elastic properties; borehole shape and curvature; bit-type; formation strength and anisotropy; and drilling parameters and conditions (1). BHA Type The stiffness property of BHA components plays a major role in critical well placement. The stiffness property is dependent on the modulus of elasticity and the moment of inertial of the BHA components. BHA components should be selected in such a way that the stiffness property can withstand borehole conditions for effective bore control.
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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 ».