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In some cases when: 

Fig. 1

both production 

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

...

LaTeX Math Inline
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:

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

...

it provides reliable estimation of formation pressure 

LaTeX Math Inline
bodyp_e
  and formation transmissibility 
LaTeX Math Inline
body\sigma

it does not require the knowledge of pressure diffusivity 

LaTeX Math Inline
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 

LaTeX Math Block Reference
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 

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

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