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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.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

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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

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.

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:

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)


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

Image Modified

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 formation water saturation and corresponding production water-cut.

of production watercut



Fig. 45. A bunch of IPRs IPRs at different formation pressures and TPRs at different THPs 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 – 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 – 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 WFP – Well Flow Performance 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_{sO} = \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
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 injection rate

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 injection rate

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 above defintions the aribitrary 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:

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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_o

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LaTeX Math Inline
bodyq=q_g

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LaTeX Math Inline
bodyq=q_w

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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})
  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)

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Image Removed

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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.

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The alternative form of the constant Productivity Index  WFP – Well Flow Performance is given by:

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

where 

LaTeX Math Inline
bodyq_{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 WFP – Well Flow Performance plot (Fig. 2).

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Image Removed

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

The popular dry gas WFP – Well Flow Performance 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 specific to a certain gas PVT model,  
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).

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Image Removed

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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.

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Image Removed

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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}

with AOF 

LaTeX Math Inline
bodyq_{max}
  related to bubble point flowrate
LaTeX Math Inline
bodyq_b
 via following correlation:

LaTeX Math Block
anchorSZEBO
alignmentleft
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 WFP – Well Flow Performance analysis is represented by oil and water components separately (see Fig. 4.1 and Fig. 4.2).

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

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

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

LaTeX Math Block
anchor51ACM
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
anchor8CM49
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 

Undersaturated Multiphase IPR

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

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Image Removed

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Image Removed

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

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

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special@self

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 


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) ]


  

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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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Anchor
WFP
WFP

References

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

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