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Excerpt

Pressure transient survey in producer during the pressure rise period caused by shutting well down or reducing its production rate.




Shut-in survey after production period with a constant rate (see Fig. 1):

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Fig 1. Horner test procedure


Interpretation

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Interpretation of BUS is based on:

 

In some cases when:

both production 

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bodyT
 and shut-in 
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body\Delta t
 period reach radial flow regime: 
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bodyT > t_{IARF}
LaTeX Math Inline
body\Delta t > t_{IARF}


total duration of production and shut-in do not reach the boundary 

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bodyT+\Delta t < t_e


one can uses Horner model which  is a simplified version of BUS interpretation procedure and based on the following pressure diffusion model:

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anchorHorner_pwf
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p_{wf}(\Delta t) = p_e - \frac{q_t}{4 \pi \sigma} \, \ln \left( 1 + \frac{T}{\Delta t} \right)


The main features of Horner model are:

it provides reliable estimation of formation pressure 

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bodyp_e
  and formation transmissibility 
LaTeX Math Inline
body\sigma

it does not require the knowledge of pressure diffusivity 

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body\chi
 (unlike the case of a drawdown test)

it does not depend on diffusion model specifics as soon as IARF is developed during the test

it does not provide skin-factor estimation


The formula 

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anchorHorner_pwf
 shows that pressure during the shut-in segment of Honer test is not dependant on skin-factor and pressure diffusivity.


The formation pressure 

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bodyp_e
 and transmissibility 
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body\sigma
 are estimated with LSQ regression:

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alignmentleft
\left \{ p_{wf} \right \}  = p_e - b  \, \left \{ \ln \left( 1 + \frac{T}{\Delta t} \right) \right \} 


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alignmentleft
\sigma =  \frac{q_t}{4 \pi b}


Horner model is a good example of how a complicated problem of non-linear regression on three parameters  

LaTeX Math Inline
body\{ p_e, \, S, \, \sigma \}
 with upfront knowledge of pressure diffusivity may sometimes be simplified to a  fast-track linear regression on two parameters without any additional assumptions on reservoir properties.