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WFP
WFP

Definition



WFP – Well Performance Analysis analysis is a comparative analysis between:


and

  • wellbore fluid deliverability (the ability of well to lift up or lift down the fluid) and which is called OPR or TPR or VFP (equally popular throughout the literature)


It is based on correlation between surface flowrate 

LaTeX Math Inline
bodyq
and bottomhole pressure 
LaTeX Math Inline
bodyp_{wf}
as a function of tubing-head pressure 
LaTeX Math Inline
bodyp_s
and formation pressure
LaTeX Math Inline
bodyp_R
 and current reservoir saturation.


Ideally, the well flow model for WFP – Well Flow Performance analysis should be performed individually for each well but even typical for a given asset can.


Application



Technology


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Stabilised
Stabilised


Most reservoir engineers exploit material balance thinking which is based on long-term well-by-well surface flowrate targets  (whether producers or injectors).

In practice, the flowrate targets are closely related to bottomhole pressure and associated limitations and require a specialised analysis to set up the optimal lifting (completion, pump, chocke) parameters. 

This is primary domain of WFP – Well Flow Performance analysis.


WFP – Well Flow Performance is performed on stabilised wellbore and reservoir flow and does not cover transient behavior which is one of the primary subjects of Well Testing domain.


Note
Expand
titleMore on stabilised reservoir and wellbore flow


The wellbore flow is called stabilised if the delta pressure across wellbore is not changing over time.

The formation flow is called stabilised if the well productivity index is not changing over time.


It's important to remember the difference between constant rate formation flow and stabilised formation flow.

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ConstantRate
ConstantRate


The stabilised formation flow may go through a gradually changing flow rate due to formation pressure change, while the productivity index stays constant.

On the other hand, the constant rate formation flow may not represent a stabilised formation flow as the bottom-hole pressure and productivity index maybe still in transition after the last rate change.


The WFP methods are not applicable if the well flow is not stabilised even if the flow rate is maintained constant. 


There are two special reservoir flow regimes which are both stabilised and maintain constant flow rate:  steady state regime (SS) and pseudo-steady state regime (PSS).


The steady state regime (SS)  regime is reached when the flow is stabilised with the full pressure support at the external boundary.


The pseudo-steady state (PSS) regime is reached when the flow is stabilised  with no pressure support at the external boundary.


In both above cases, the drawdown and flow rate will stay constant upon productivity stabilisation.


As for formation and bottom-hole pressure in PSS they will be synchronously varying while in SS they will be staying constant.


The table below is summarizing the major differences between SS and PSS regimes.



Steady state regime (SS)Pseudo-steady state (PSS)
Boundary
Full pressure supportNo pressure support
Productivity index

LaTeX Math Inline
bodyJ(t) = \frac{q}{\Delta p}

constant

constant

Flow rate

LaTeX Math Inline
bodyq(t)

constant

constant

Drawdown

LaTeX Math Inline
body\Delta p(t) = p_e(t) - p_{wf}(t)

constant

constant

Botom-hole pressure

LaTeX Math Inline
bodyp_{wf}(t)

constant

varying

Formation pressure

LaTeX Math Inline
bodyp_e(t)

constant

varying



It's again important to avoid confusion between the termines stationary conditions (which mean that refered properties are not chaning in time) and stabilised flow conditions which may admit pressure and rate vraition.


In practice, the productivity index is usually not known at all times as there is no routine procedure to assess it.

It is usually accepted that a given formation takes the same time to stabilise the flow after any change in well flow conditions and the stabilisation time is assessed based on the well tests analysis.

Although, this is not strictly true and the flow stabilisation time depends on well-formation contact and reservoir property variation around a given well.

This is also compromised in multi-layer formations with cross-layer communication. 




The conventional WFP – Well Performance Analysis is perfomed as the 

LaTeX Math Inline
body\{ p_{wf} \ {\rm vs} \ q \}
cross-plot with two model curves:

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JP
JP

The intersection of WFP – Well Flow Performance and OPR curves represent the stabilized flow (see Fig. 1)


Fig. 1. The stablised flow rate is represnted as junction point of WFP – Well Flow Performance and OPR curves.Fig. 2. The dead well scenario.


Given a tubing head pressure 

LaTeX Math Inline
bodyp_s
the WFP Junction Point will be dynamic in time depending on current formation pressure (see Fig. 2) and formation saturation (see Fig. 3). 


Fig. 2. A sample case of stablised flow rate as function of formation pressure.Fig. 3. A sample case of stablised flow rate as function of formation water saturation and corresponding production water-cut.


Workflow




  1. Check the current production rate against the production target from FDP

  2. If the diffference is big enough to justify the cost of production optimization (see point 8 below) then proceed to the step 3 below

  3. Assess formation pressure based on well tests

  4. Simulate IPR/OPR based on the current WOR/GOR

  5. Calculate the stabilized flow bottom-hole pressure

  6. Gather the current bottom-hole pressure
    LaTeX Math Inline
    bodyp_{wf}


  7. Check up the calculation aganst the actual 
    LaTeX Math Inline
    bodyp_{wf}


  8. Recommend the production optimisation activities to adjust bottom-hole pressure 
    LaTeX Math Inline
    bodyp_{wf}
    :

    • adjusting the choke at surface

    • adjusting the pump settings from surface 

    • changing the pump depth

    • changing the tubing size

    • changing the pump

The above workflow is very simplistic and assumes single-layer formation with no cross-flow complications.

In practise, the WFP – Well Flow Performance analysis is often very tentative and production technologists spend some time experimenting with well regimes on well-by-well basis. 


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IPR
IPR

IPR – Inflow Performance Relation



IPR – Inflow Performance Relation represents the relation between the bottom-hole pressure 

LaTeX Math Inline
bodyp_{wf}
  and surface flow rate  
LaTeX Math Inline
bodyq
  during the stabilised formation flow:

LaTeX Math Block
anchor1
alignmentleft
p_{wf} = p_{wf}(q)

  which may be non-linear. 


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Js
Js

The IPR analysis is closely related to well PI – Productivity Index  

LaTeX Math Inline
bodyJ_s
 which is defined as below:

LaTeX Math Block
anchorJ
alignmentleft
J_s(q_{\rm liq}) = \frac{q_{\rm liq}}{p_R-p_{wf}}


for oil producer with liquid flowrate

LaTeX Math Inline
bodyq_{liq} = q_O + q_W
(water and oil at surface conditions)

LaTeX Math Block
anchorJ
alignmentleft
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_g) = \frac{q_{GI}}{p_{wf}-p_R}


for gas injector with gas flowrate

LaTeX Math Inline
bodyq_{GI}
at surface conditions

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


for water injector with water flowrate

LaTeX Math Inline
bodyq_{WI}
at surface conditions

where

LaTeX Math Inline
bodyp_R

field-average formation pressure 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 general WFP – Well Flow Performance can be wirtten in a general form:

LaTeX Math Block
anchorIPR
alignmentleft
p_{wf} = p_R - \frac{q}{J_s}

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_{\rm liq}=q_o+q_w

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-supply producer



The  Productivity Index can be constant or dependent on bottom-hole pressure 

LaTeX Math Inline
bodyp_{wf}
  or equivalently on flowrate 
LaTeX Math Inline
bodyq
.

In general case of multiphase flow the PI 

LaTeX Math Inline
bodyJ_s
 features a complex dependance on bottom-hole pressure 
LaTeX Math Inline
bodyp_{wf}
 (or equivalently on flowrate 
LaTeX Math Inline
bodyq
) which can be etstablished based on numerical simulations of multiphase formation flow.

For undersaturated reservoir the numerically-simulated WFP – Well Flow Performances have been approximated by analytical models and some of them are brought below. 

These correlations are usually expressed in terms of 

LaTeX Math Inline
bodyq = q (p_{wf})
 or 
LaTeX Math Inline
body\frac{q}{q_{max}} = f (p_{wf})
 as alternative to 
LaTeX Math Block Reference
anchorIPR
.

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 WFP – Well Flow Performance 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) 

LaTeX Math Inline
bodyJ_s = \rm const
 and WFP – Well Flow Performance plot is reperented by a straight line (Fig. 1)


Fig.1. WFP – Well Flow Performance plot for constant productivity (water and dead oil)


This is a typical WFP – Well Flow Performance plot for water supply wells, water injectors and dead oil producers.


The PI can be estimated using the Darcy equation:

LaTeX Math Block
anchor3AIXS
alignmentleft
J_s = \frac{2 \pi \sigma}{ \ln \frac{r_e}{r_w} + \epsilon+ S}

where 

LaTeX Math Inline
body\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 
LaTeX Math Block Reference
anchorPerrine2phase_alpha
pageLinear Perrine multi-phase diffusion model
,

 

LaTeX Math Inline
body\epsilon = 0.5
 for steady-state SS flow and 
LaTeX Math Inline
body\epsilon = 0.75
 for pseudo-steady state PSS flow.


The alternative form of the conatsnt PI WFP – Well Flow Performance is:


LaTeX Math Block
anchor1
alignmentleft
\frac{q}{q_{max}} = 1 -\frac{p_{wf}}{p_R}



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 WFP – Well Flow Performance plot (Fig. 2).


Fig. 2. WFP – Well Flow Performance for dry gas producer or gas injector into a gas formation



The popular dry gas IPR correlation is Rawlins and Shellhardt:

LaTeX Math Block
anchorIPRGas
alignmentleft
\frac{q}{q_{max}} = \Bigg[  \, 1- \Bigg(  \frac{p_{wf}}{p_R} \Bigg)^2  \, \Bigg]^n

where 

LaTeX Math Inline
bodyn
 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:

LaTeX Math Block
anchor9C1T3
alignmentleft
a \, q + b \, q^2 = \Psi(p_R) - \Psi(p_{wf})

where 

LaTeX Math Inline
body\Psi
 – is pseudo-pressure function,  
LaTeX Math Inline
bodya
is laminar flow coefficient and
LaTeX Math Inline
bodyb
is turbulent flow coefficient.



It needs two well tests at two different rates to assess

LaTeX Math Inline
body\{ q_{max} \, , \, n \}
 or
LaTeX Math Inline
body\{ 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 WFP – Well Flow Performance plot  similar to dry gas (Fig. 3).


Fig. 3. WFP – Well Flow Performance for 2-phase oil+gas production below and above bubble point


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

LaTeX Math Block
anchorQF556
alignmentleft
\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

LaTeX Math Inline
bodyp_R > p_b
 the behavior of WFP – Well Flow Performance model will vary on whether the bottom-hole pressure is above or below bubble point.

When it is higher than bubble point

LaTeX Math Inline
bodyp_{wf} > p_b
 then formation flow will be single-phase oil and production will follow the constant WFP – Well Flow Performance

When bottom-hole pressure goes below bubble point 

LaTeX Math Inline
bodyp_{wf} < p_b
  the near-reservoir zone free gas slippage also inflicts the downward trend at the right side of WFP – Well Flow Performance 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. WFP – Well Flow Performance for 2-phase oil+gas production below and above bubble point



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

LaTeX Math Block
anchor1
alignmentleft
\frac{q}{q_b} = \frac{p_R - p_{wf}}{p_R - p_b} \quad , \quad p_R > p_{wf} > p_b 
LaTeX Math Block
anchorModifiedVogel
alignmentleft
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}



Multiphase IPR



For 3-phase water-oil-gas flow the IPR analysis is perfomed on oil and watr components (see Fig. 4.1 and Fig. 4.2).


Fig. 4.1. Oil WFP – Well Flow Performance for 3-phase (water + oil + gas) formation flow

Fig. 4.2. Water WFP – Well Flow Performance for 3-phase (water + oil + gas) formation flow





Note

Excerpt Include
Definition specifics on formation pressure and productivity index in between Dynamic Modelling, Well Flow Performance and Well Tests
Definition specifics on formation pressure and productivity index in between Dynamic Modelling, Well Flow Performance and Well Tests
nopaneltrue



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VLP
VLP

OPR – Outflow Performance Relation


  

OPR – Outflow Performance Relation also called TPR – Tubing Performance Relation and VLP – Vertical Lift Performance  represents the relation between the bottom-hole pressure 

LaTeX Math Inline
bodyp_{wf}
  and surface flow rate  
LaTeX Math Inline
bodyq
  during the stabilised wellbore flow under a constant Tubing Head Pressure (THP):

LaTeX Math Block
anchorHSNMP
alignmentleft
p_{wf} = p_{wf}(q)

  which may be non-linear. 


Fig 3. OPR for low-compressible fluid

Fig 4. OPR for compressible fluid



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WFP
WFP

Sample Case 1 –  Oil Producer Analysis




Fig. 5. WFP for stairated oil



Fig. 6. WFP for stairated oil


Sample Case 2 – Water Injector Analysis




Sample Case 3 – Gas Producer Analysis




References



Joe Dunn Clegg, Petroleum Engineering Handbook, Vol. IV – Production Operations Engineering, SPE, 2007


Michael Golan, Curtis H. Whitson, Well Performance, Tapir Edition, 1996


William Lyons, Working Guide to Petroleum and Natural Gas production Engineering, Elsevier Inc., First Edition, 2010


Shlumberge, Well Performance Manual