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Definition

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


and


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_Rr
 and current reservoir saturation.In general case, the WFP – Well Flow Performance is set individually for each well.


Application

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Technology

Technology

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

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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 behaviour which is one of the primary subjects of Well Testing domain.

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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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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).

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

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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.

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

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constant

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constant

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LaTeX Math Inline
bodyq(t)

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constant

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constant

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Drawdown

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

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constant

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constant

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LaTeX Math Inline
bodyp_{wf}(t)

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constant

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varying

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LaTeX Math Inline
bodyp_e(t)

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constant

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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.

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.

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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:

Anchor
JP
JP

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


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Image Added

Fig. 1.
The stablised flow rate is represnted as
 A sample case of stabilised wellbore flow represented by junction point of
WFP – Well Flow Performance and OPR curves
IPR and Lift 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). 


Image Modified

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Fig.
2
3. A sample case
of stablised
of stabilised wellbore flow
rate
as function of formation pressure.

Fig.

3

4.A sample case

of stablised

of stabilised wellbore flow

rate

as function of production watercut



Image Added

Fig. 5. A bunch of
formation water saturation and corresponding production water-cut
IPRs at different formation pressures and Lift Curves at different THPs.


Workflow

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

LaTeX Math Inline
bodyJ_s
 which is defined as below:

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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)


See Also

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

Subsurface E&P Disciplines / Production Technology 

WFP – Water Injector ]

Inflow Performance Relation (IPR) ] [ Lift Curves (LC) ]


  

Anchor
WFP
WFP

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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

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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

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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

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LaTeX Math Inline
bodyp_R

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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 these notions the general WFP – Well Flow Performance can be wirtten in universal 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:

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LaTeX Math Inline
body-

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LaTeX Math Inline
body+

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LaTeX Math Inline
bodyq=q_{\rm liq}=q_o+q_w

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LaTeX Math Inline
bodyq=q_g

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LaTeX Math Inline
bodyq=q_w

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

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

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

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.

For gas wells, condensate producers, light-oil producers, and oil producers below bubble point 

LaTeX Math Inline
bodyP_{wf} < P_b
  the fluid compressibility is high, formation flow in well vicinity becomes non-linear (deviating from Darcy) and free gas slippage effects inflict the downward trend on WFP – Well Flow Performance plot (Fig. 2).

It can be interpreted as deterioration of near-reservoir zone permeability with fluid velocity is growing.

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Image Removed

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Fig.2. WFP – Well Flow Performance for compressible fluid production (gas, light oil, saturated oil)

In general case of saturated oil, the PI 

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

But when field-average formation pressure is above bubble-point 

LaTeX Math Inline
bodyp_R > p_b
 (which means that most parts of the drainage area are saturated oil) the PI can be farily approximated  by some analytical correlations.

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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. 

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Sample Case 1 –  Oil Producer Analysis

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Sample Case 2 – Water Injector Analysis

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References

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

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