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The relation between the bottom-hole pressure  p_{wf}  and surface flow rate   q  during the stabilised formation flow:

(1) p_{wf} = p_{wf}(q)

  which may be non-linear. 


The IPR (Inflow Performance Relation) analysis is closely related to well PI – Productivity Index   J_s which is defined as below:

(2) J_{sO} = \frac{q_O}{p_R-p_{wf}}


for oil producer with oil flowrate q_O at surface conditions

(3) J_s(q_G) = \frac{q_G}{p_R-p_{wf}}


for gas producer with gas flowrate q_G at surface conditions

(4) J_s(q_g) = \frac{q_{GI}}{p_{wf}-p_R}


for gas injector with injection rate q_{GI} at surface conditions

(5) J_s(q_w) = \frac{q_{WI}}{p_R-p_{wf}}


for water injector with injection rate q_{WI} at surface conditions

where

p_R

field-average formation pressure within the drainage area V_e of a given well: p_R = \frac{1}{V_e} \, \int_{V_e} \, p(t, {\bf r}) \, dV

Based on above defintions the aribitrary IPR (Inflow Performance Relation) can be wirtten in a general form:

(6) p_{wf} = p_R - \frac{q}{J_s}

providing that   q has a specific meaning and sign as per the table below:

-

for producer

+

for injector

q=q_o

for oil producer

q=q_g

for gas producer or injector

q=q_w

for water injector or water producer or water production from oil producer


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The  Productivity Index can be constant or dependent on bottom-hole pressure  p_{wf}  or equivalently on flowrate  q.

In general case of multiphase flow the PI  J_s features a complex dependance on bottom-hole pressure  p_{wf} (or equivalently on flowrate  q) which can be etstablished based on numerical simulations of multiphase formation flow.

For undersaturated reservoir the numerically-simulated IPR (Inflow Performance Relation)s have been approximated by analytical models and some of them are brought below. 

These correlations are usually expressed in terms of  q = q (p_{wf})  as alternative to  (6).

They are very helpful in practise to design a proper well flow optimization procedure.

These correaltions should be calibrated to the available well test data to set a up a customized IPR (Inflow Performance Relation) model for a given formation.


Water and Dead Oil IPR



For a single layer formation with low-compressibility fluid (water or dead oil) the PI does not depend on drawdown (or flowrate)  J_s = \rm const and IPR (Inflow Performance Relation) plot is reperented by a straight line (Fig. 1)

Fig.1. IPR (Inflow Performance Relation) plot for constant productivity (water and dead oil)


This is a typical IPR (Inflow Performance Relation) plot for water supply wells, water injectors and dead oil producers.


The PI can be estimated using the Darcy equation:

(7) J_s = \frac{2 \pi \sigma}{ \ln \frac{r_e}{r_w} + \epsilon+ S}

where  \sigma = \Big \langle \frac{k} {\mu} \Big \rangle \, h = k \, h\, \Big[ \frac{k_{rw}}{\mu_w} + \frac{k_{ro}}{\mu_o} \Big]  – water-based or water-oil-based transmissbility above bubble point 

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,

  \epsilon = 0.5 for steady-state SS flow and  \epsilon = 0.75 for pseudo-steady state PSS flow.



The alternative form of the constant Productivity Index  IPR (Inflow Performance Relation) is given by:

(8) \frac{q}{q_{max}} = 1 -\frac{p_{wf}}{p_R}

where  q_{max} = J_s \, p_R  is the maximum reservoir deliverability when the bottom-hole is at atmosperic pressure and also called AOF – Absolute Open Flow.


Dry Gas IPR



For gas producers, the fluid compressibility is high and formation flow is essentially non-linear, inflicting the downward trend on the whole IPR (Inflow Performance Relation) plot (Fig. 2).

Fig. 2. IPR (Inflow Performance Relation) for dry gas producer or gas injector into a gas formation


The popular dry gas IPR (Inflow Performance Relation) correlation is Rawlins and Shellhardt:

(9) \frac{q}{q_{max}} = \Bigg[ \, 1- \Bigg( \frac{p_{wf}}{p_R} \Bigg)^2 \, \Bigg]^n

where  n is the turbulent flow exponent, equal to 0.5 for fully turbulent flow and equal to 1 for laminar flow.


The more accurate approximation is given by LIT (Laminar Inertial Turbulent) IPR model:

(10) a \, q + b \, q^2 = \Psi(p_R) - \Psi(p_{wf})

where  \Psi – is pseudo-pressure function specific to a certain gas PVT model,   a is laminar flow coefficient and  b is turbulent flow coefficient.



It needs two well tests at two different rates to assess  \{ q_{max} \, , \, n \} or  \{ a \, , \, b \}.  

But obviously more tests will make assessment more accruate.


Saturated Oil IPR



For saturated oil reservoir the free gas flow inflict the downward trend of IPR (Inflow Performance Relation) plot  similar to dry gas (Fig. 3).

Fig. 3. IPR (Inflow Performance Relation) for 2-phase oil+gas production below and above bubble point


The analytical correlation for saturted oil flow is given by Vogel model:

(11) \frac{q}{q_{max}} = 1 - 0.2 \, \frac{p_{wf}}{p_R} - 0.8 \Bigg(\frac{p_{wf}}{p_R} \Bigg)^2 \quad , \quad p_b > p_R > p_{wf}

Undersaturated Oil IPR



For undersaturated oil reservoir  p_R > p_b the behavior of IPR (Inflow Performance Relation) model will vary on whether the bottom-hole pressure is above or below bubble point.

When it is higher than bubble point  p_{wf} > p_b then formation flow will be single-phase oil and production will follow the constant IPR (Inflow Performance Relation)

When bottom-hole pressure goes below bubble point  p_{wf} < p_b  the near-reservoir zone free gas slippage also inflicts the downward trend at the right side of IPR (Inflow Performance Relation) plot (Fig. 3).

It can be interpreted as deterioration of near-reservoir zone permeability when the fluid velocity is high and approximated by rate-dependant skin-factor.

Fig. 3. IPR (Inflow Performance Relation) for 2-phase oil+gas production below and above bubble point


The analytical correlation for undersaturated oil flow is given by modified Vogel model:

(12) \frac{q}{q_b} = \frac{p_R - p_{wf}}{p_R - p_b} \quad , \quad p_R > p_{wf} > p_b
(13) q = (q_{max} - q_b ) \Bigg[ 1 - 0.2 \, \frac{p_{wf}}{p_b} - 0.8 \Bigg(\frac{p_{wf}}{p_b} \Bigg)^2 \Bigg] + q_b \quad , \quad p_R > p_b > p_{wf}

with AOF  q_{max}  related to bubble point flowrate  q_b via following correlation:

(14) q_{max} = q_b \, \Big[1 + \frac{1}{1.8} \frac{p_b}{(p_r - p_b)} \Big]




Saturated Multiphase IPR



For saturated 3-phase water-oil-gas reservoir the IPR (Inflow Performance Relation) analysis is represented by oil and water components separately (see Fig. 4.1 and Fig. 4.2).

Fig. 4.1. Oil IPR (Inflow Performance Relation) for saturated 3-phase (water + oil + gas) formation flow

Fig. 4.2. Water IPR (Inflow Performance Relation) for saturated 3-phase (water + oil + gas) formation flow


The analytical correlation for saturated 3-phase oil flow is given by Wiggins model:

(15) \frac{q_o}{q_{o, \, max}} = 1 - 0.52 \, \frac{p_{wf}}{p_R} - 0.48 \Bigg(\frac{p_{wf}}{p_R} \Bigg)^2
(16) \frac{q_w}{q_{w, \, max}} = 1 - 0.72 \, \frac{p_{wf}}{p_R} - 0.28 \Bigg(\frac{p_{wf}}{p_R} \Bigg)^2

Undersaturated Multiphase IPR



For undersaturated 3-phase water-oil-gas reservoir the IPR (Inflow Performance Relation) analysis is represented by oil and water components separately (see Fig. 4.1 and Fig. 4.2).

Fig. 4.1. Oil IPR (Inflow Performance Relation) for udersaturated 3-phase (water + oil + gas) formation flow

Fig. 4.2. Water IPR (Inflow Performance Relation) for undersaturated 3-phase (water + oil + gas) formation flow







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