Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
NARROW
Format
Subjects
Article Type
Date
Availability
1-2 of 2
Keywords: sensing
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
Flow Diagnostics in High Rate Gas Condensate Well Using Distributed Fiber-Optic Sensing and its Validation with Conventional Production Log
Available to PurchaseFuad Aziz Atakishiyev, Alessandro Delfino, Cagri Cerrahoglu, Zahid Hasanov, Ilkin Yusifov, Alex Wallace, Alberto Mendoza
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Offshore Europe Conference & Exhibition, September 7–10, 2021
Paper Number: SPE-205435-MS
... Abstract We introduce a novel Machine Learning (ML) approach for processing distributed fiber-optic sensing (DFOS) data that enables dynamic flow profile monitoring using a fiber-optic e-line cable deployed in a gas condensate well and compare it to a conventional approach. DFOS technology has...
Proceedings Papers
A Real-Time Fiber Optical System for Wellbore Monitoring: A Johan Sverdrup Case Study
Available to PurchaseMaximilian Georg Schuberth, Håkon Sunde Bakka, Claire Emma Birnie, Stefan Dümmong, Kjetil Eik Haavik, Qin Li, Johan-Fredrik Synnevåg, Yanis Saadallah, Lars Vinje, Kevin Constable
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Offshore Europe Conference & Exhibition, September 7–10, 2021
Paper Number: SPE-205405-MS
... Abstract Fiber Optic (FO) sensing capabilities for downhole monitoring include, among other techniques, Distributed Temperature Sensing (DTS) and Distributed Acoustic Sensing (DAS). The appeal of DTS and DAS data is based on its high temporal and spatial sampling, allowing for very fine...