PREDICTION OF THE DEW-POINT PRESSURE OF A GAS CONDENSATE RESERVOIR
ABSTRACT
This study was carried out to predict the dew point pressure of a gas condensate reservoir. The Dew point pressure (DPP) is one amongst the foremost essential parameters to characterize gas condensate reservoirs. Experimental determination of DPP during a window pressure-volume-temperature cell is commonly tough particularly just in case of lean retrograde gas condensation. Therefore, checking out quick and sturdy algorithms for determination of DPP is sometimes required.
This Paper presents a replacement approach supported artificial neural network (ANN) to work out DPP for gas condensation reservoirs specifically within the Niger delta. Therefore, it addresses the inequality of already existing correlation within the prediction of dew point pressure. In developing the model during this work, five hundred data sets from the Constant volume depletion experiment done from gas condensates taken from fields within the Niger Delta were used. The data sets were indiscriminately divided into four sets. For coaching, validation, testing the Neural network developed. The feed forward back-propagation learning algorithms were employed in the network because it became the best approach. The neural design used, concerned two hidden layers that ultimately improved the results of the network.
The accuracy of this developed model was tested with fifty data samples and also the result was compared to the results from already existing correlations and Neural network model developed. It was absolutely and clearly seen that the projected model from this work performed higher with a parametric statistic of 0.99999 and AARE of 0.039675 than alternative correlations and existing models
CHAPTER 1
INTRODUCTION
1.1 Background of the Study
Gas Condensate Reservoir is a reservoir having low-density mixture of liquid hydrocarbons that are present as gaseous components in the subsurface (in the reservoir). It is important to recognize that some gas condensate reservoirs show condensate dropping out within reservoirs, as well as condensate production at the surface due to pressure falling below the dew-point during production. This condensate accumulation in the reservoir initially remains immobile due to interfacial forces between it and connate water within the pores of the formation until its saturation level reaches a threshold value and becomes mobile.
Initially, the gas-condensate is totally gas in the reservoir. As reservoir pressure decreases, the gas condensate exhibits a dew-point. The dew-point of a gas condensate fluid occurs when a gas mixture containing heavy hydrocarbon is depressurized until liquid is formed, that is, a substantial amount of gas phase exists in equilibrium with an infinitesimal amount of liquid phase. A pressure is reduced; liquid condenses from the gas to form free liquid in the reservoir. Normally, there is no effective permeability to this liquid phase and it is not produced. If the pressure continues to decrease, a second dew-point will be reached and the liquid can be re-vaporized. This lower dew-point pressure is usually well below the reservoir abandonment pressure; thus it would be of no interest in reservoir performance.
By definition, dew-point pressure is simply the pressure at which an infinitesimal amount of liquid is in equilibrium with a large quantity of gas. The pressure below which liquid condense out of the gaseous phase.
A phase behaviour can be defined as the characteristics (changes in phase) exhibited by the gas when subjected to different temperature-pressure conditions.
During production, the hydrocarbon molecules undergo various phase and some property change, altering intermediate stages which are crucial in designing and operating the processes efficiently and optimally.
1.2 Problem Statement
Condensate liquid saturation usually build up near a wellbore area because of drawdown below the dew-point pressure, ultimately restricting the flow of gas. The near-well choking can reduce the productivity of a well by a factor of two or more. The phenomenon called condensate blockage or condensate banking, results from a combination of factors, including fluid phase properties, formation flow characteristics and pressures in the formation and in the wellbore. If these factors are not understood at the beginning of field development, sooner or later production performance can suffer. This condensate blockage is a major challenge in the oil and gas sector since production rate is reduced. Therefore, the dew-point pressure at which this formation occurs needs to be accurately predicted in order to reduce reservoir damage caused by condensate blockage and thus increase production rate.
1.3 Aim and Objectives
1.31 Aim
To improve the prediction of the dew-point pressure of a gas condensate reservoir.
1.32 Objectives
1. Generation of gas condensate data
2. Generation of a new mathematical correlation to accurately predict dew-point pressure
1.4 Significance of the Study
Every day, the petroleum industries are producing fluid from the condensate reservoirs in order to satisfy human and industrial needs. It is of great concern on the path of production and reservoir engineers to make sure the dew-point pressure of a gas condensate reservoir is accurately known.
As described earlier, the condensate reservoirs when produced below dew-point pressure tends to release liquid which reduce formation permeability and thus reduce production rate.
For example, well productivity in the Arun field, in North Sumatra, Indonesia, declined significantly about 10 years after production began. Well studies, including pressure transient testing, indicated the loss was caused by accumulation of condensate near the wellbore.
Therefore, this article focuses on the prediction of the dew-point pressure of a gas condensate reservoir so that production and reservoir engineers can be aware and produce gas condensate reservoirs optimally.
1.5 Scope of the Study
The scope of this project is limited to developing a mathematical correlation that would be used to accurately predict the dew-point pressure of a gas condensate reservoir using data from literature.
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