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The Inflow Performance Relation (IPR) analysis is closely related to well Productivity Index (PI)  

LaTeX Math Inline
bodyJ_s
 which is defined as below:


LaTeX Math Block
anchorJ
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J_s(q_O) = \frac{q_O}{p_r-p_{wf}}



for oil producer with oil flowrate

LaTeX Math Inline
bodyq_O
at surface conditions


LaTeX Math Block
anchorJ
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J_s(q_G) = \frac{q_G}{p_r-p_{wf}}



for gas producer with gas flowrate

LaTeX Math Inline
bodyq_G
at surface conditions


LaTeX Math Block
anchorJ
alignmentleft
J_s(q_{GI}) = \frac{q_{GI}}{p_{wf}-p_r}



for gas injector with injection rate

LaTeX Math Inline
bodyq_{GI}
at surface conditions


LaTeX Math Block
anchorJ
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J_s(q_{WI}) = \frac{q_{WI}}{p_r-p_{wf}}



for water injector with injection rate

LaTeX Math Inline
bodyq_{WI}
at surface conditions

where

LaTeX Math Inline
bodyp_r

field-average formation pressure estimate within the drainage area

LaTeX Math Inline
bodyV_e
of a given well:
LaTeX Math Inline
bodyp_r = \frac{1}{V_e} \, \int_{V_e} \, p(t, {\bf r}) \, dV



Based on above defintions the aribitrary IPR can be wirtten in a general form:

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providing that  

LaTeX Math Inline
bodyq
 has a specific meaning and sign as per the table below:

LaTeX Math Inline
body-

for producer

LaTeX Math Inline
body+

for injector

LaTeX Math Inline
bodyq=q_o

for oil producer

LaTeX Math Inline
bodyq=q_g

for gas producer or injector

LaTeX Math Inline
bodyq=q_w

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


See more on the variations of PI definition between Dynamic Modelling,  Well Flow Performance and Well Testing

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For a single layer formation with low-compressibility fluid (water or dead oil) the PI does not depend on drawdown (or flowrate) 

LaTeX Math Inline
bodyJ_s = \rm const
 and IPR plot is reperented by a straight line (Fig. 1)


Image Modified

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



This is a typical IPR plot for water supply wells, water injectors and dead oil producers.

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


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Fig. 2. IPR for dry gas producer or gas injector into a gas formation



The popular dry gas IPR correlation is Rawlins and Shellhardt:

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


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Fig. 3. IPR for 2-phase oil+gas production below and above bubble point



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


Excerpt Include
Vogel IPR model
Vogel IPR model
nopaneltrue

LaTeX Math Block
anchorQF556
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\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}

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


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Fig. 3. IPR for 2-phase oil+gas production below and above bubble point



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

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


Image Modified

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

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



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

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


Image Modified

Image Modified

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

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



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

LaTeX Math Block
anchor9YQ92
alignmentleft
\frac{q_o}{q_{o, \, max}} = 1 - 0.52 \, \frac{p_{wf}}{p_r} - 0.48 \Bigg(\frac{p_{wf}}{p_r} \Bigg)^2  


LaTeX Math Block
anchorDC0W9
alignmentleft
\frac{q_w}{q_{w, \, max}} = 1 - 0.72 \, \frac{p_{wf}}{p_r} - 0.28 \Bigg(\frac{p_{wf}}{p_r} \Bigg)^2 


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