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Title

Reservoir Performance Assessment Based on Intelligent Well Technology

Year: 1393
COI: ICOGPP02_243
Language: EnglishView: 645
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Authors

Amir Farzamnia - Petroleum University of Technology, Abadan, Iran
Jamshid Moghadasi - Petroleum University of Technology, Abadan, Iran
Turaj Behrouz - Research Institute of Petroleum Industry (RIPI), Tehran, Iran
Amir Abbas Askari - Research Institute of Petroleum Industry (RIPI), Tehran, Iran

Abstract:

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 Interval Control Valves 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).In spite of advancement in smart well technology, the effect of smart well on reservoir drive mechanisms under different reservoir characterization have not been well addressed. 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 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.

Keywords:

Annular flow control valves, Drive mechanisms, Intelligent Well Technology

Paper COI Code

This Paper COI Code is ICOGPP02_243. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/394082/

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Farzamnia, Amir and Moghadasi, Jamshid and Behrouz, Turaj and Askari, Amir Abbas,1393,Reservoir Performance Assessment Based on Intelligent Well Technology,2nd International Conference of Oil, Gas & Petrochemical,Tehran,https://civilica.com/doc/394082

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Type of center: دانشگاه دولتی
Paper count: 1,948
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