Show simple item record

dc.contributor.authorSchuberth, Maximilian Georg
dc.contributor.authorBakka, Håkon Sunde
dc.contributor.authorBirnie, Claire Emma
dc.contributor.authorDümmong, Stefan
dc.contributor.authorHaavik, Kjetil Eik
dc.contributor.authorLi, Qin
dc.contributor.authorSynnevåg, Johan-Fredrik
dc.contributor.authorSaadallah, Yanis
dc.contributor.authorVinje, Lars
dc.contributor.authorConstable, Kevin
dc.date.accessioned2021-09-13T06:43:46Z
dc.date.available2021-09-13T06:43:46Z
dc.date.issued2021-09-07
dc.identifier.citationSchuberth, M. G., Bakka, H. S., Birnie, C. E., Dümmong, S., Haavik, K. E., Li, Q., … Constable, K. (2021). A Real-Time Fiber Optical System for Wellbore Monitoring: A Johan Sverdrup Case Study. Day 1 Tue, September 07, 2021. doi:10.2118/205405-ms
dc.identifier.doi10.2118/205405-ms
dc.identifier.urihttp://hdl.handle.net/10754/671178
dc.description.abstractFiber 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 localization of processes in a wellbore. Furthermore, the broad frequency spectrum that especially DAS data is acquired with, enables observations, ranging from more continuous effects like oil flow, to more distinct effects like opening and closing of valves. Due to the high data volume of hundreds of Gb per well per hour, DAS data has traditionally been acquired acquisition-based, where data is recorded for a limited amount of time and processed at a later point in time. This limits the decision-making capability based on this data as reacting to events is only possible long after the event occurred. Equinor has addressed these decision-making shortcomings by building a real-time streaming solution for transferring, processing, and interpretation of its FO data at the Johan Sverdrup field in the North Sea. The streaming solution for FO data consists of offshore interrogators streaming raw DAS and DTS data via a dedicated bandwidth to an onshore processing cluster. There, DAS data is transformed into FO feature data, e.g., Frequency Band Energies, which are heavily decimated versions of the raw data; allowing insight extraction, while significantly reducing data volumes. DTS and DAS FO feature data are then streamed to a custom-made, cloud-based visualization and integration platform. This cloud-based platform allows efficient inspection of large data sets, control and evaluation of applications based on these data, and sharing of FO data within the Johan Sverdrup asset. During the last year, this FO data streaming pipeline has processed several tens of PB of FO data, monitoring a range of well operations and processes. Qualitatively, the benefits and potential of the real-time data acquisitions have been illustrated by providing a greater understanding of current well conditions and processes. Alongside the FO data pipeline, multiple prototype applications have been developed for automated monitoring of Gas Lift Valves, Safety Valve operations, Gas Lift rate estimation, and monitoring production start-up, all providing insights in real-time. For certain use cases, such as monitoring production start-up, the FO data provides a previously non-existent monitoring solution. In this paper, we will discuss in detail the FO data pipeline architecture from-platform-to-cloud, illustrate several data examples, and discuss the way-forward for "real-time" FO data analytics.
dc.description.sponsorshipThe authors would like to thank the Johan Sverdrup license Operator Equinor and Partners Lundin Energy Norway AS, Petoro, Aker BP ASA and Total E&P Norge AS for permission to publish the work. The authors would like to thank all Equinor colleagues who contributed to the development of this system, inparticular the fibra & fo.tone IT development teams. "The views and opinions expressed in this paper are those of the Johan Sverdrup field operator and arenot necessarily shared by the license partners".
dc.publisherSPE
dc.relation.urlhttps://onepetro.org/SPEOE/proceedings/21OE/1-21OE/D011S001R001/469038
dc.rightsArchived with thanks to SPE
dc.titleA Real-Time Fiber Optical System for Wellbore Monitoring: A Johan Sverdrup Case Study
dc.typeConference Paper
dc.contributor.departmentAli I. Al-Naimi Petroleum Engineering Research Center (ANPERC)
dc.contributor.departmentKing Abdullah University of Science and Technology
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.conference.date7 - 10 September 2021
dc.conference.nameSPE Offshore Europe Conference & Exhibition
dc.conference.locationvirtually
dc.eprint.versionPost-print
dc.contributor.institutionEquinor ASA
kaust.personBirnie, Claire Emma
dc.date.published-online2021-09-07
dc.date.published-print2021-09-07


This item appears in the following Collection(s)

Show simple item record