Utilizing Ultrasonic Imaging Technology to Evaluate a Lateral Entry Module
Notice bibliographique
Résumé
Abstract As a result of improved drilling and completion techniques, an increasing number of wells worldwide utilize multilateral systems to minimize the number of surface penetrations required to maximize reservoir contact. However, these systems increase the complexity, which in turn introduces new failure modes and challenges related to inspection of erroneous completions. The scanning range and measurement capabilities utilizing ultrasound imaging techniques provide a new solution for well diagnosis of multi-lateral completions. Several attempts to enter the upper lateral of a multi-lateral well operated by a major oil company in Alaska, USA had been unsuccessful. Different technologies were attempted to diagnose the problem but no conclusive results were obtained. In May 2017, an ultrasonic imaging technique based on medical ultrasound imaging was used to inspect the Lateral Entry Modules (LEMs). This paper presents the data collected by an ultrasound downhole scanner demonstrating a novel method for diagnosing multi-lateral wells. The ultrasound downhole scanner utilizes established technology applied in medical ultrasound imaging (e.g. Angelsen 2000) to obtain images and measurements of downhole completion components. A 288 element, 3.3MHz circumferential ultrasound transducer array combined with electronic beamforming allows the flexibility to optimize image quality for different tubing sizes with no moving parts. The transducer operates in pulse-echo mode. Logging is performed dynamically with images obtained real-time. In 2011, the scanner was used to measure damages in sand screens (Hyde-Barber et al.) and has since 2009 been used to image and measure downhole completion components worldwide. The possibly defective LEM was investigated by the scanner. A reference scan of a fully functional LEM in the same well was also made and the results from the two compared. The ultrasound data, visualized both as 2D grey-scale images and 3D-rendered images, clearly show that the upper LEM assembly was not properly aligned with the window of the lateral. Thus, explaining the past unsuccessful attempts to enter the completion. Measurements were made directly on the ultrasound images to document the findings. The results from the survey helped the customer to understand the situation of their well and gave information which was valuable for the decision making process.
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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.
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