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NadriPari, M., Motahhari, S., Behrouz, T., Hendi, S. (2014). A Novel Screening Technique for Implementation of Intelligent Reservoir Technology. Journal of Chemical and Petroleum Engineering, 48(1), 47-55. doi: 10.22059/jchpe.2014.5585
Mahdi NadriPari; Seyyed Mahdia Motahhari; Turaj Behrouz; Seyyed Saleh Hendi. "A Novel Screening Technique for Implementation of Intelligent Reservoir Technology". Journal of Chemical and Petroleum Engineering, 48, 1, 2014, 47-55. doi: 10.22059/jchpe.2014.5585
NadriPari, M., Motahhari, S., Behrouz, T., Hendi, S. (2014). 'A Novel Screening Technique for Implementation of Intelligent Reservoir Technology', Journal of Chemical and Petroleum Engineering, 48(1), pp. 47-55. doi: 10.22059/jchpe.2014.5585
NadriPari, M., Motahhari, S., Behrouz, T., Hendi, S. A Novel Screening Technique for Implementation of Intelligent Reservoir Technology. Journal of Chemical and Petroleum Engineering, 2014; 48(1): 47-55. doi: 10.22059/jchpe.2014.5585

A Novel Screening Technique for Implementation of Intelligent Reservoir Technology

Article 4, Volume 48, Issue 1, June 2014, Page 47-55  XML PDF (480.36 K)
Document Type: paper
DOI: 10.22059/jchpe.2014.5585
Authors
Mahdi NadriPari; Seyyed Mahdia Motahhari; Turaj Behrouz email ; Seyyed Saleh Hendi
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
Screening criteria; Smart well; Prioritization; Analytical Hierarchy Process; Sensitivity analysis
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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