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Enregistrement W1970723362 · doi:10.4043/19159-ms

Steering Response for Directional Wells in Soft Formations in Deepwater Developments

2008· article· en· W1970723362 sur OpenAlexaff
Runar Nygaard, Robin A. Hartmann, G. Hareland, Svein Hellvik

Notice bibliographique

RevueOffshore Technology Conference · 2008
Typearticle
Langueen
DomaineEngineering
ThématiqueDrilling and Well Engineering
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésOverburdenGeologySubmarine pipelineDirectional drillingDrillingMeasurement while drillingDrillGeotechnical engineeringPetroleum engineeringEngineeringMechanical engineering

Résumé

récupéré en direct d'OpenAlex

Abstract In the search new for oil and gas fields great water depth is explored. One of these areas with large water depth is the south Norwegian Sea where the water depths exceeds 1000 meter. One identified drilling challenge in such areas is the deep water combined with soft overburden sediments. To ensure correct penetration of the reservoir rotary steerable systems will be used to drill deviated well paths. However, the behavior of rotary steerable systems in soft formation was a concern because building angle in weak formations gives less steering response from the wellbore sidewall which limits the maximum dog leg generation. A method for calculating the rotary steerable systems steering response in different formations was developed by correlating the rotary steerable systems maximum response setting to the rock strength. This correlation was used to give guidelines to determine which sections were most likely to give good response when building angle. The sedimentary rock strength analysis indicated low values in the ranges of 2-8 MPa which call for careful directional planning. Attention with respect to the planning of the wellpaths maximum dog leg severity had to be integrated with the rock strength profile. The maximum dog leg severity obtainable in the overburden was estimated to be 2° to 2.5°. The first deviated wells from the field have given the anticipated steering response. This method should be applicable for other areas planning deviated wells in deep water with soft overburden. Introduction Directional wells are often the preferred solution when developing offshore fields. Especially since offshore wells have to be drilled from the same template below the (future) production platform or sub-sea production unit. It is critical to place wells correctly to reach reservoir targets and to obtain the desired reservoir section length. When the reservoir targets tolerances gets tighter it is even more important that the actual well path follows the planned well path. In addition to follow the planned well path, the uncertainty in the geological prognosis makes it sometimes necessary to adjust the well path real time based on geological information collected while drilling, referred to as geosteering. Rotary steerable systems (RSS) are one of the various technologies in use to change well directions, and RSS are widely used today. Some of the available RSS use pads or stabilizers in contact with the formation to create directional change at the bit face. The directional change is controlled by directing the mudflow through the tool. The effect is controlled by the amount of controlled flow given in %, typically in steps on 20%, defined as % active steering. Since, the systems rely on contact with the borehole wall to get directional control hole stability problems such as washouts, key seats and breakouts can negatively impact the directional performance on these systems (Schaaf et al. 2000). Drilling experience with RSS in directional wells has also shown that some geological formations give less response to directional change. Therefore different formations need more active steering to obtain the same directional change. The level of resistance a formation shows when direction changes are attempted by using a RSS is defined as directional response steerability (steerability). Formations with high steerability will enable rapid directional changes. While less steerable formations gives less directional change. Directional change itself is reported as dog leg severity (DLS), defined as the directional change (in degrees) per 30 meter or 100 feet. To predict formation steerability, already drilled directional wells can be used to back calculate an average formation stiffness factor. However this method requires that there are existing directional wells in the area. This is often not the case when the main production drilling program is planned for a new field and the only wells that have been drilled are vertical exploration wells.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,115
Score d'incertitude au seuil0,609

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,208
Écart entre enseignants0,192 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2008
Routes d'admission1
Résumé présentoui

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