The relation between the bottom-hole pressure  and surface flow rate    during the stabilised formation flow (see the reference to original paper of Gilbert):

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

which may be linear (Fig. 1) or non-linear (Fig. 2). 


One of the two key concepts of Well Flow Performance analysis along with Vertical Lift Performance (VLP).

The word  "Inflow" is misnomer as Inflow Performance Relationship (IPR) analysis is applicable for both producers and injectors.


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


J_s(q_O) = \frac{q_O}{p_r-p_{wf}}



for oil producer with oil flowrate at surface conditions


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



for gas producer with gas flowrate at surface conditions


J_s(q_{GI}) = \frac{q_{GI}}{p_{wf}-p_r}



for gas injector with injection rate at surface conditions


J_s(q_{WI}) = \frac{q_{WI}}{p_r-p_{wf}}



for water injector with injection rate at surface conditions

where

field-average formation pressure estimate within the drainage area of a given well:



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

p_{wf} = p_r - \frac{q}{J_s}

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

for producer

for injector

for oil producer

for gas producer or injector

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


The  Productivity Index can be constant (showing a straight line on IPR like on  Fig. 1) or dependent on bottomhole pressure   or equivalently on flowrate  (showing a curved line on IPR like on  Fig. 2) .

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

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

These correlations are usually expressed in terms of   as alternative to .

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 customised IPR 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)  and IPR plot is reperented by a straight line (Fig. 1)


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.


The PI can be estimated using the Darcy equation:

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

where  – water-based or water-oil-based transmissbility above bubble point ,

  for steady-state SS flow and  for pseudo-steady state PSS flow.



The alternative form of the constant Productivity Index  IPR is given by:

\frac{q}{q_{max}} = 1 -\frac{p_{wf}}{p_r}

where   is the maximum reservoir deliverability when the bottom-hole is at atmospheric pressure and also called Absolute Open Flow (AOF).


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 plot (Fig. 2).


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



The popular dry gas IPR correlation is Rawlins and Shellhardt:

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

where  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:

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

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



It needs two well tests at two different rates to assess  or .  

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 plot  similar to dry gas (Fig. 3).


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



The analytical correlation for saturated oil reservoir flow is given by Vogel IPR @ model:

Undersaturated Oil IPR




For undersaturated oil reservoir  the behavior of IPR model will vary on whether the bottom-hole pressure is above or below bubble point.

When it is higher than bubble point  then formation flow will be single-phase oil and production will follow the constant Inflow Performance Relationship (IPR)

When bottom-hole pressure goes below bubble point   the near-reservoir zone free gas slippage also inflicts the downward trend at the right side of IPR 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 for 2-phase oil+gas production below and above bubble point



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

\frac{q}{q_b} = \frac{p_r - p_{wf}}{p_r - p_b} \quad , \quad p_r > p_{wf} > p_b 


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   related to bubble point flowrate  via following correlation:

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 analysis is represented by oil and water components separately (see Fig. 4.1 and Fig. 4.2).


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:

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


\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 analysis is represented by oil and water components separately (see Fig. 4.1 and Fig. 4.2).


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




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

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


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


See Also


Petroleum Industry / Upstream / Production / Subsurface Production / Well & Reservoir Management

Subsurface E&P Disciplines / Production Technology / Well Flow Performance

Vogel IPR @model ] [ Richardson and Shaw IPR @ model ] Wiggins IPR @ model ]


Reference


Gilbert, W.E.: "Flowing and Gas-Lift Well Performance," Drill. and Prod. Prac., API (1954) 126.

Archer, R. A., Del Castillo, Y., & Blasingame, T. A. (2003, January 1). New Perspectives on Vogel Type IPR Models for Gas Condensate and Solution-Gas Drive Systems. Society of Petroleum Engineers. doi:10.2118/80907-MS


Archer, R. A., Del Castillo, Y., & Blasingame, T. A. (2003, January 1). New Perspectives on Vogel Type IPR Models for Gas Condensate and Solution-Gas Drive Systems. Society of Petroleum Engineers. doi:10.2118/80907-MS