For the pressure diffusion with constant diffusion coefficients and linear homogeneous boundary conditions the pressure response  in one well to a complex flowrate history  in the same well honours the convolution equation:

p(t) = p_0 + \int_0^t p_u(t-\tau) \, dq(\tau) = p_0 + \int_0^t p_u(t-\tau) \, \dot q(\tau) \, d\tau 

where

Drawdown Transient Response


a pace of sandface flow rate variation per unit time



In case a well is interfering with the offset wells the pressure in a given well   may respond to the offset wells  and the multi-well form of convolution is going to be:

p_n(t) = p_{n, 0} + \sum_{m=1}^N \int_0^t p_{u,nm}(t-\tau) \, dq_m(\tau) = p_{n, 0} + \sum_{m=1}^N \int_0^t p_{u,nm}(t-\tau) \, \dot q_m(\tau) \, d\tau = p_{n, 0} + \int_0^t p_{u,nn}(t-\tau) \, \dot q_n(\tau) \, d\tau + p_{n, 0} + \sum_{m \neq n}^N \int_0^t p_{u,nm}(t-\tau) \, \dot q_m(\tau) \, d\tau

where

Initial formation pressure at zero time for the -th well

Drawdown Transient Response in the -th well to the unit-rate production




Cross-well Transient Response
in the -th well to the unit-rate production in -th well



A speed of -th well total sandface flow rate variation


The pressure convolution principle has some limitations and may not be adequate for some practical cases.

For example, changing reservoir conditions, high compressibility – everything which breaks linearity of diffusion equations.

There are some workarounds on these cases but the best practice is to check the validity of pressure convolution (and therefore the applicability of MDCV) on the simple synthetic 2-well Dynamic Flow Model (DFM) with the typical for the given case  reservoir-fluid-production conditions.


See Also


Petroleum Industry / Upstream / Subsurface E&P Disciplines / Well Testing / Pressure Testing

Well & Reservoir Surveillance ] [ Pressure Diffusion ] [ Pressure drawdown ]

[ Pressure Deconvolution  ] [ MDCV ]

Convolution @math ]

References


Arthur Aslanyan, Mathematical aspects of Multiwell Deconvolution and its relation to Capacitance Resistance Model, arxiv.org/abs/2203.01319