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Title

Dew Point Pressu re Prediction of Gas Condensate Reservoirs Using Fuzzy Logic

Year: 1387
COI: NICEC12_536
Language: EnglishView: 2,015
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Authors

Saeed Nowrooz - Department of Chemical Engineering, Shahid Bahonar University of Kerman, Iran-Energy and Environmental Research Centre, Shahid Bahonar University of Kerman, Iran
Mohammad Ranjbar - Department of Mining Engineering, Shahid Bahonar University of Kerman, Iran-Energy and Environmental Research Centre, Shahid Bahonar University of Kerman, Iran
Hasan Hashemipour - Department of Chemical Engineering, Shahid Bahonar University of Kerman, Iran-Energy and Environmental Research Centre, Shahid Bahonar University of Kerman, Iran
Mahin Schaffie - Department of Chemical Engineering, Shahid Bahonar University of Kerman, Iran-Energy and Environmental Research Centre, Shahid Bahonar University of Kerman, Iran

Abstract:

Dew point pressure is one of the most important parameter to characterize gas condensate reservoirs. Thus, accurate determination of this property has been the main challenge in reservoir development and management. The experimental determination of dew point pressure in a window PVT cell is often difficult especially in case of lean retrograde gas condensate. Beside all statistical, graphical and experimental methods, using fuzzy logic to estimate reservoir properties can be useful and more reliable. Fuzzy logic can overcome uncertainty existent in many reservoir properties. The fuzzy logic dew point pressure modeling system used in this study is a multi input single output (MISO) Mamdani system. The model was developed using experimentally constant volume depletion (CVD) measured samples of some Iranian fields. The performance of the model is compared against performance of some of the most accurate and general correlations for dew point pressure calculation. Results show that this novel method is more accurate and reliable with the average absolute deviation of 1.33% and 2.68% for developing and checking, respectively.

Keywords:

Average absolute deviation, Dew point, Fuzzy logic, Gas condensate

Paper COI Code

This Paper COI Code is NICEC12_536. 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/58228/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Nowrooz, Saeed and Ranjbar, Mohammad and Hashemipour, Hasan and Schaffie, Mahin,1387,Dew Point Pressu re Prediction of Gas Condensate Reservoirs Using Fuzzy Logic,12th National Iranian Chemical Engineering Congress ,Tabriz,,,https://civilica.com/doc/58228

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