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

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.

کلیدواژه ها:

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