Project Details:
A reservoir has the following formation and fluid characteristics. The initial pressure is given as 3640 psi.
Porosity = 17.5%
Water saturation = 15%
Reservoir thickness = 78 ft
Areal extent = 85 acres
Reservoir permeability = 20md

The density of water is given as 62.4 lb/ft3
The molecular weight of air is 28.97
Please reference any formulae you may need from class notes or appropriate textbooks.

The gas composition is given as:
                        Molecular Weight    Mole Fraction
[yi]
Methane [CH4]             16.04                0.847
Ethane [C2H6]             30.07                0.0568
Propane [C3H8]             44.1                   0.0325
Normal Butane[nC4H10] 58.12                0.0162
Carbon dioxide [CO2]    44.01                   0.013
Nitrogen [N2]                28.01                0.0345

Relative permeability data is given as:
   Residual saturation    End Point Exponent
krw          0.15                   0.63             0.84
kro             0.15                   0.8             1.5478
krg             0.02                   0.9                1

Using the above information:
1. Calculate the initial oil in place in STB using a volumetric approach
2. Using the production history and assuming that the reservoir is volumetric, determine the initial oil in place in STB using a Havlena-Odeh approach. Using an appropriate graph, show whether water influx is occurring for this reservoir. (Hints: You may need to change your flow rates to cumulative values - assume 1 month has 30 days. Use MBAL to calculate any fluid properties at the pressures you may need)
3. Using MBAL, calculate the initial oil in place in STB. If water influx is occurring, decide which aquifer (pot aquifer, Schilthuis, Hurst-van Everdingen – bottom and edge (radial) models), is the best suited to your model. Briefly discuss why you have chosen your aquifer properties. Take screenshots as needed.
• Note the following:
o During this exercise you may regress your data. If regression is used:
briefly discuss the reasons why you decided to regress
show and briefly discuss what parameters were regressed
show and discuss changes in your Energy plot, Graphical plot and Analytical plot before and after regression.
4. Using MBAL, perform a DCA on your data. What kind of decline is being experienced? Show how the oil rate and amounts change for a hyperbolic, harmonic and exponential decline where appropriate. Predict the cumulative oil production for the next 10 years under these three different declines showing how your actual decline value differs to the other two models.

Project Details: A reservoir has the following formation and fluid...