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Dynamic Data Analysis – v5.12.01 - © KAPPA 1988-2017

Chapte

r 2 – T heory

- p52/743

Fig. 2.I.3 – B

g

[SCF/RCF] vs p [psia]

Fig. 2.I.4 – c

g

[psi

-1

] vs p [psia]

We could just use these PVT elements straight into a numerical simulator. However we would

be short of diagnostic plots if we were just blindly simulating and matching.

The idea is to rearrange the equations by changing variables in a gas diffusion equation that

looks like the slightly compressible fluid equation. If we do so we could extend the

methodology and diagnostic plots developed for the linear process to the nonlinear process of

gas diffusion. This is done by introducing pseudopressures.

2.I.2

Derivation of the real dry gas diffusion

We deviate from our initial derivation just before the slightly compressible fluid assumption:

Raw diffusion equation:

 

t

x

p

x

k

x





0002637

.0

The real gas law gives:

ZnRT

PV

where

M

m

n

This gives the gas density:

Z

p

RT

M

V

m

 

Diffusion equation becomes:



Z

p

RT

M

t

x

p

Z

p

RT

M

x

k

x

0002637

.0

Which simplifies to:





x

p

Z

p

x

k

Z

p

t

x

0002637

.0

The first term develops as:

t

p

Z

p

pp

Z

p Z

p

Z

p

t

T



1

The gas compressibility is written:

T

T

T

g

Z

p

pp

Z

RTZ

Mp

p Mp

RTZ

p

c







1

So:

t

p

Z

p

c

t

p

c c

Z

p

Z

p

t

t

g

f

