0

Full Content is available to subscribers

Subscribe/Learn More  >

Autonomous Flow Control Device Modelling and Completion Optimisation

[+] Author Affiliations
Eltazy Eltaher, Khafiz Muradov, David Davies

Heriot-Watt University, Edinburgh, UK

Peter Grassick

RPS Energy, London, UK

Paper No. OMAE2017-62587, pp. V008T11A023; 11 pages
doi:10.1115/OMAE2017-62587
From:
  • ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology
  • Trondheim, Norway, June 25–30, 2017
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-5776-2
  • Copyright © 2017 by ASME

abstract

The functions of the various wellbore completion components and their impact on the given well performance should be fully understood to achieve the full potential of advanced wells completions (AWCs).

Inflow control technology has been a success when installed in many fields. Field trials of the more recently developed Autonomous Flow Control Completions (AFCC) have shown their potential to further improve well performance. However, such (autonomous) discrimination and control of the different fluid phases, presents new modelling challenges that require extension of today’s wellbore/reservoir models and workflows for optimizing the completion design. The modelling challenges associated with this new technology requires more research to correctly quantify their added-value and guide future design improvements in AFCC technology.

This paper discusses how the currently available modelling tools can best designed when only single-phase flow performance data is available. Methods and workflows to improve the modelling accuracy, as well as, to understand the performance of an AFCC in a horizontal well in comparison with passive inflow control technology are presented. Novel methods to visualize and optimize the AFCC are presented and used to optimize the equipment design and identify the technology’s added-value.

Finally, this paper presents a modelling workflow for reservoir and well engineering studies by providing optimal AFCC selection guidelines together with a brief summary of an extension of the work reported here to multi-phase flow in typical AFCCs. Incorrect modelling of the devices Multi-Phase Flow Performance was found to effect the economic evaluation of this promising technology; forming an extra barrier to its early adoption.

Copyright © 2017 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In