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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)

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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:

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anchor1
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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  

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bodyJ_s
 which is defined as below:

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anchorJ
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J_{sO} = \frac{q_O}{p_R-p_{wf}}

for oil producer with oil flowrate

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bodyq_O
at surface conditions

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

for gas producer with gas flowrate

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bodyq_G
at surface conditions

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anchorJ
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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

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anchorJ
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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:

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anchorIPR
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p_{wf} = p_R - \frac{q}{J_s}

providing that  

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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
.

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LaTeX Math Inline
bodyJ_s

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LaTeX Math Inline
bodyp_{wf}

 

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LaTeX Math Inline
bodyq

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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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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:

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anchor3AIXS
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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:

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anchor1
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\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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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:

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

where 

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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:

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anchor9C1T3
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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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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:

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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}

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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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:

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\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:

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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:

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anchor51ACM
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\frac{q_o}{q_{o, \, max}} = 1 - 0.52 \, \frac{p_{wf}}{p_R} - 0.48 \Bigg(\frac{p_{wf}}{p_R} \Bigg)^2  
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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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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  

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anchorDC0W9
alignmentleft

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Anchor
VLP
VLP

OPR – Outflow Performance Relation

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