Reservoir Performance Assessment Based on Intelligent Well Technology

Document Type : Research Paper


1 Petroleum University of Technology, Iran

2 Research Institute of Petroleum Industry (RIPI), Iran


The main challenge facing the oil industry is to reduce development costs while accelerating recovery with maximizing reserves. One of the key enabling technologies in this area is intelligent well completions. Intelligent well technology (IWT) is a relatively new technology that has been adopted by many operators in recent years to improve oil and gas recovery. Intelligent well completions employ Annular Flow Control Valves (AFCVs) to balance the production profile along the length of the well completion by splitting it into two (or more) sections. The aim of intelligent wells is to optimize the production (Delaying the gas and water breakthrough and decreasing water production).
The energy that moves crude oil and natural gas from the subsurface rock to the production well is called the reservoir drive [1]. These energies because of their different mechanisms, have different effects on reservoir production. In spite of advancement in Intelligent Well Technology, the effect of intelligent well on reservoir drive mechanisms under different reservoir characterization have not been well addressed. In this paper, six conceptual models of oil reservoir have been built and different production scenarios have been discussed. Based on the objective function, scenarios will be selected and will compare with a conventional scenario and decide whether to use smart well in these models or not.


[1] Kavle, V.M., Elmsallati, S.M., Mackay, E.J., Davis, D.R., (2006) Impact of Intelligent Wells on Oilfield Scale Management, SPE 100112-MS presented at the SPE Europe Annual Conference and Exhibition, Vienna, Austria.
[2] Ebadi, F., Davis, D.R., (2006) Techniques for Optimum Placement of Interval Control Valve(s) in an Intelligent Well, SPE 100191 presented at SPE Europe/EAGE annual Conference and Exhibition, Vienna, Austria.
[3] Konopczynski, M., Arashi, A., (2007) Control of multiple zone intelligent well to meet production optimization requirements, SPE 106879 presented at Production and Operations Symposium, Oklahoma, USA.
[4] Glandt, C.A., (2003) Reservoir Aspect of Smart Wells, SPE 81107 presented at SPE Latin America and Caribbean Petroleum Engineering Conference, Trinidad.
[5] Kharghoria, A., Zhang, F., Li, R., Jalali, Y., (2002) Application of Distributed Electrical Measurements and inflow Control in Horizontal Wells under Bottom-Water Drive, SPE 78275 presented at the SPE 13th European Petroleum Conference, Aberdeen, Scotland.
[6] Brouwer, D.R., Jansen, J.D., van der Starre, S., van Kruijsdijk, J.W., Berentsen, C.W.J., (2001) Recovery Increase through Water Flooding with Smart Well Technology, SPE 68979 presented at the SPE European Formation Damage Conference, Hague, Netherlands.
[7] Yeten B., Durlofsky, L.J., Aziz, K., (2002) Optimization of Smart Well Control, SPE 79031 presented at the SPE International Thermal Operations and Heavy Oil Symposium and international Horizontal Well Technology Conference, Alberta, Canada.
[8] Elmsallati, S.M., Davies, D.R., (2005) Automatic Optimization of Infinite Variable Control Valves, SPE 10319 presented at the International Petroleum Technology Conference, Doha, Qatar.
[9] Di Lillo, G. and Rae, P., (2002) New Insight into Water Control- A Review, SPE 77963 presented at SPE Asia pacific Oil and Gas Conference and Exhibition, Australia.
[10] Seright, R.S., Lane, R.H., Sydansk, R.D., (2003) A Strategy for Attacking Excess Water Production, SPE Production and Facilities, Vol. 18, No. 3, pp. 158-169.
[11] Yeten, B., Brouwer, D.R., Durlofsky, J., Aziz, K. (2004) Decision Analysis under Uncertainty for Smart Well Deployment, Journal of Petroleum Science and Engineering, Vol.44, pp. 175-191.
[12] Lake, L. W., (2007) Petroleum Engineering Handbook, Vol. V: Reservoir Engineering and Petrophysics, pp. 898- 905.
[13] Al-Khelaiwi, F.T., Birchenko, V.M., Konopczynski, M.R., (2008) Advanced Wells: A Comprehensive Approach to the Selection between Passive and Active Inflow Control Completions, IPTC 12145 presented at the International Petroleum Technology Conference, Kuala Lumpur, Malaysia.
Volume 50, Issue 1
June 2016
Pages 69-78
  • Receive Date: 28 September 2014
  • Revise Date: 28 June 2016
  • Accept Date: 11 December 2016
  • First Publish Date: 11 December 2016