Distributed Acoustic Sensing for Hydraulic- Fracturing Monitoring and Diagnostics
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
This article, written by Senior Technology Editor Dennis Denney, contains highlights of paper SPE 140561, ’First Downhole Application of Distributed Acoustic Sensing for Hydraulic-Fracturing Monitoring and Diagnostics,’ by M.M. Molenaar, SPE, Shell; D.J. Hill, QinetiQ OptaSense; and P. Webster, E. Fidan, SPE, and B. Birch, SPE, Shell, prepared for the 2011 SPE Hydraulic Fracturing Technology Conference and Exhibition, The Woodlands, Texas, 24-26 January. The paper has not been peer reviewed. Distributed acoustic sensing (DAS) is a fiber-optic technology that enables detecting, discriminating, and locating acoustic events with a standard telecom single-mode fiber several kilometers in length. Use of a combination of the measurement of backscattered light and advanced signal processing enables the DAS interrogator system to segregate the fiber into an array of individual “microphones.” One downhole application of DAS is monitoring hydraulic fracturing of tight-sand and shale-gas reservoirs. Introduction Fracture monitoring is key to understanding and optimizing hydraulic-fracturing treatments. The diagnostics focus on determining stimulation effects such as fracture geometry, proppant placement in the fracture, and fracture conductivity. Historically, completion engineers have been limited to the use of surface wellhead rates and pressures, and occasionally downhole pressures, as their main sources of real-time information. To address such limitations, Shell Canada has been deploying distributed-temperature-sensing (DTS) systems in tight-sand and shale-gas wells for hydraulic-fracturing diagnostics. The passive nature of fiber-optic sensors allows intervention- and interference-free operation. The inherent long-term reliability of such sensors, combined in a downhole-deployable single optical-fiber cable, makes fiber-optic technology an effective platform for permanent sensing in producing wells. DAS technology has potential for improvements in management of assets across the well’s life cycle, from exploration to operation. Measuring Wellbore Acoustic Disturbances at the Surface Surface Interrogator System. The DAS interrogator unit transforms a standard telecom (single-mode) fiber of sever-al kilometers in length into an array of microphones. This works because the interference of back-reflected laser light is affected by acoustic disturbances along the optical fiber. The technology can be deployed in new wells or used in most existing wells in which standard telecom optical fibers have been deployed for DTS purposes. The DAS system uses a technique called coherent optical time-domain reflectometry, which involves the successive transmission of short pulses of highly coherent light down an optical fiber, and the observation of the very small levels of back-scattered signal caused by nonhomogeneities in the glass core. The system relies on sensing of vibro-acoustic disturbances in the vicinity of the fiber-optic cable.
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.
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 découle