A Novel Screening Technique for Implementation of Intelligent Reservoir Technology

Document Type : Original Paper

Authors

Research Institute of Petroleum Industry (RIPI), Tehran, Iran

Abstract

Throughout life cycle of oil production wells, it is imperative to have production optimization and real response time to rapid changes of well conditions and more understanding of subsurface otherwise it is the matter of expenditure losing. Smart well capabilities meet aforementioned issues. However there is a key concern in managers' mind that they have limited budget and several fields' documents in front. They cannot afford smart well technology for all fields because they know that justification through modeling, simulation and economic evaluation is vital but costly and time consuming. They can apply this box only for one filed. How can they select one field among these fields? In this paper we present a novel screening technique by Analytical Hierarchy Process engine. This technique needs criteria and sub-criteria affecting on smart well potential of fields. Application of this screening technique directed us to prioritize four fields to implement smart well completion. Interestingly; the output of this paper can be used for any set of fields throughout the world.

Keywords

References

[1] Arashi, A., Konopczynski, M., Nielson, VJ. and Giuliani, C. (2007). “Defining and implementing functional requirements, of an intelligent-well completion system.” SPE 107829 presented at SPE Latin American and Caribbean Petroleum Engineering Conference, Buenos Aires
[2] Ebadi, F., Davis, D., Reynolds, M. and Corbett, PWM. (2005).”Screening of reservoir type for optimization of intelligent well design.” SPE 94053 presented at SPE Europec/EAGE Annual Conference, Madrid, Spain
[3] Chung Lau, H. (2008). Shell International E&P Inc., "Good practices in progressing a smart well portfolio." IPTC12255 prepared for presentation at the International Petroleum Technology Conference, Kuala Lumpur, Malaysia
[4] Behrouz, T., Motahari, M., Nadri, M. and Hendi, S. (2012). "Determining geological, environmental and economical impact weight for oil field prioritization to implement smart well technology (in Farsi)." published in Iranian Journal of Petroleum Geology (Elmi Pajoheshi), Vol.3, No.3.
[5] Azar, A. and Rajabzadeh, A. (2009). "Applied Decision Making (MADM Approach)", Negah Publication
[6] Pourafshary, P., et al. (2009). "Priority assessment of investment in development of nanotechnology in upstream petroleum industry.", SPE 126101-MS, Saudi Arabia Section Technical Symposium and Exhibition held in AlKhobar, Saudi Arabia.

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History

  • Receive Date: 15 October 2013
  • Accept Date: 11 March 2014
  • First Publish Date: 01 June 2014

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