(257aj) A Simple and Efficient Model to Predict Dew Point Pressure of Gas Condensate Reservoirs

A simple and efficient model to Predict Dew Point Pressure of Gas Condensate Reservoirs

Adel Elsharkawy

Department of Petroleum Engineering,, Kuwait University, Kuwait Abstract

Estimation of dew point pressure for gas condensate reservoir is a very important because when the bottom-hole flowing pressure in a gas condensate reservoir drops below the dew point pressure, liquid starts to build up around the well bore resulting in gas productivity decline. The condensate formed in the reservoir will not flow until its saturation reaches the critical saturation and in many cases it might not be entirely recovered.  It order to maximize gas production and condensate recovery, the reservoir pressure must be maintained close to the dew point pressure.  Several attempts have been made to predict the dew point pressure in case the gas sample becomes unavailable or measured value is unreliable.  Unfortunately, most of these attempts have minor success rates and are based on limited data.

In this study we present a simple but efficient model to estimate the dew point pressure for gas condensate reservoirs when sample is unavailable or measurement is unreliable. The new model is using compositional information required for equation of state (EOS) simulation. However, the new model does not require splitting the plus fraction into several sub-fractions, characterization of the sub-fractions, or inclusion of the binary interaction parameters that is needed for EOS. The new model has been trained and tested using a large data bank collected for the literature.  Accuracy and validity of the proposed model has been compared to published correlations and EOS simulations.