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Mathematics

In linear formation approхimation the pressure response to the varying rates in the offset wells is subject to convolution equation:


LaTeX Math Block
alignmentleft
p_n(t) = p_{i,n} + \sum_{k = 1}^N  \sum_{\alpha = 1}^{N_k} \big( q^{(\alpha)}_k - q^{(\alpha-1)}_k \big) \ p^u_{nk}(t - t_{\alpha k})

where




1

LaTeX Math Inline
bodyp_n(t)

pressure at

LaTeX Math Inline
bodyn
-th well at arbitrary moment of time
LaTeX Math Inline
bodyt

2

LaTeX Math Inline
bodyp_{i,n}

initial pressure at

LaTeX Math Inline
bodyn
-the well

3

LaTeX Math Inline
bodyq^{(\alpha)}_n

rate value of

LaTeX Math Inline
body\alpha
-th transient at
LaTeX Math Inline
bodyn
-th well

4

LaTeX Math Inline
bodyp^u_{nk} (t)

pressure transient response in

LaTeX Math Inline
bodyn
-th wel to unit-rate production from
LaTeX Math Inline
bodyk
-th well

5

LaTeX Math Inline
bodyt_{\alpha k}

starting point of the

LaTeX Math Inline
body\alpha
-th transient in
LaTeX Math Inline
bodyk
-th well

6

LaTeX Math Inline
bodyN

number of wells in the test
7

LaTeX Math Inline
bodyN_k

number of transients in

LaTeX Math Inline
bodyk
-th well

with assumption:

  • LaTeX Math Inline
    bodyq^{(-1)}_k = 0
     – for any well 
    LaTeX Math Inline
    bodyk = 1.. \ N


  • LaTeX Math Inline
    bodyp^u_{nk}(\tau) = 0
     at 
    LaTeX Math Inline
    body\tau < 0
     for any pair of wells 
    LaTeX Math Inline
    bodyn, k = 1.. \ N

...

and objective function components have the following meaning:



LaTeX Math Inline
body\sum_{n=1}^N \Big(p_{i,n} + \sum_{k = 1}^N \sum_{\alpha = 1}^{N_k} (q^{(\alpha)}_k - q^{(\alpha-1)}_k ) \ p^u_{nk}(t - t_{\alpha k})- p_n(t) \Big)^2

is responsible for minimizing discrepancy between model and historical pressure data

LaTeX Math Inline
bodyw_c \, \sum_{n = 1}^N \sum_{k = 1}^{N_k} {\rm Curv} \big( p^u_{nk}(\tau) \big)

is responsible for minimizing the curvature of the transient response (which reflects the diffusion character of the pressure response to well flow)

LaTeX Math Inline
bodyw_q \, \sum_{k = 1}^N \sum_{\alpha = 1}^{N_k} \big( q^{(\alpha)}_k - \tilde q^{(\alpha)}_k \big)^2

is responsible for minimizing discrepancy between model and historical rate data (since historical rate records are not accurate at the time scale of pressure sampling)


In practice the above approach is not stable.

...

The 

Hint
0MDCV
1Multiwell Deconvolution
methodology constitute a big area of practical knowledge and not all the tricks and solutions are currenlty automated and require a practical skill. 


See also

...

Petroleum Industry / Upstream / Subsurface E&P Disciplines / Well Testing / Pressure Testing / Pressure convolution / Pressure Deconvolution / Multiwell deconvolution (MDCV)