We start with reservoir pressure diffusion outside wellbore:
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where
\Sigma_k | well-reservoir contact of the k-th well |
d {\bf \Sigma} | normal vector of differential area on the well-reservoir contact, pointing inside wellbore |
Then use the following equality:
(3) | d(\rho \, \phi) = \rho \, d \phi + \phi \, d\rho = \rho \, \phi \, \left( \frac{d \phi }{\phi} + \frac{d \rho }{\rho} \right) = \rho \, \phi \, \left( \frac{1}{\phi} \frac{d \phi}{dp} \, dp + \frac{1}{\rho} \frac{d \rho}{dp} \, dp \right) = \rho \, \phi \, (c_{\phi} \, dp + c \, dp) = \rho \, \phi \, c_t \, dp |
to arrive at:
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where
c_t = с_\phi+ c |
Let's assume Darcy flow with constant permeability
\displaystyle \frac{dk}{dp} = 0 and ignore gravity forces:
(6) | {\bf u} = \frac{k}{\mu} \nabla \, p |
so that diffusion equation becomes:
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Let's express the density via Z-factor:
(9) | \rho = \frac{M}{RT} \, \frac{p}{Z(p)} |
where
T | fluid temperature |
M | molar mass of a fluid |
R | gas constant |
and assuming the fluid temperature T does not change over time and space during the modelling period:
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or
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where
\displaystyle \Psi(p) =2 \, \int_0^p \frac{p \, dp}{\mu(p) \, Z(p)} | Pseudo-Pressure |
In some practical cases the complex
c_t \, \mu can be considered as constant in time which makes
(12) a linear differential equation.
But during the early transition times the pressure drop is usually high and the complex c_t \, \mu can not be considered as constant in time which leads to distortion of pressure transient diagnostics at early times.
In this case one can use Pseudo-Time, calculated by means of the bottom-hole pressure p_{BHP}(t):
(14) | \tau(t) = \int_0^t \frac{dt}{\mu (p_{BHP} ) \, c_t (p_{BHP}) } \, , \ \ p_{BHP} = p_{BHP}(t) |
to correct early-time transient behaviour which turn equation (12) into:
(15) | \phi \cdot \frac{\partial \Psi}{\partial \tau} + \nabla \, ( k \cdot \nabla \, \Psi) = 0 |
See also
Physics / Mechanics / Continuum mechanics / Fluid Mechanics / Fluid Dynamics / Pressure Diffusion / Pressure Diffusion @model / Pseudo-linear pressure diffusion @model