This paper introduces new approach for pressure-rate convolution and deconvolution analysis of multi-stages
hydraulically fractured conventional and unconventional reservoirs. This approach demonstrates the impact of
variable Sand face flow rate on reservoir performance. A new model for P/R deconvolution is used to convert
pressure pulse from variable flow rate to single and constant rate response. The target of this study is fractal
reservoirs with and without stimulated and unstimulated reservoir volume.
Multi-linear flow regimes approach is used to describe pressure behavior in the reservoirs while decline flow
rate behavior is described by newly proposed model in this study. This model depicts, instead of van Everdingen
model, indirectly the declining rate with time by using pressure responses with production time. Decline flow
rate behavior simulated by linear and bi-linear flow models are also studied and compared with the one obtained
by the new model. Several analytical models are used in this study by applying P/R convolution and deconvolution technique and solved for constant and variable flow rate considering different reservoir configurations
and operating conditions. The results are interpreted and analyzed for better understanding pressure behaviors,
flow regime types, and productivity index trends for continuously changing flow rate especially at early production time. Estimating stimulated reservoir volume
( ) Vsrv is considered one of the applications of convolved
pressure since it is calculated from pseudo-steady state flow when late time boundary dominated flow regime is
reached.
The outcomes of this study can be summarized as: 1) Introducing new approach for pressure-rate convolution
and deconvolution technique for multi-stages hydraulically fractured reservoirs by applying new decline flow
rate model that indirectly simulates variable flow rate with time. 2) Generating analytical models for dimensionless pressure and flow rate for constant and variable flow rate using the concept of P/R convolution and
deconvolution. 3) Comparing the result of newly proposed models with the results obtained by applying van
Everdingen model for decline rate behavior. 4) Studying the applicability of linear and bi-linear flow models in
converting variable flow rate pressure response to single and constant flow rate pressure response. 5) Applying
the deconvolution technique to simulate pressure response at late production time to estimate stimulated reservoir volume.
The most interesting points are: 1) The main difference in wellbore pressure behavior between variable and
constant flow rate can be seen at early production time, however intermediate production time could also show
very limited changes for the case of variable rate wellbore pressure. 2) A unit slope line flow regime could be
developed for varied flow rate pressure response at very early production time similar to the wellbore storage
dominated flow regime. 3) Productivity index calculated by the proposed models for variable flow rate is greater
than the index for constant flow rate. 4) The impact of petrophysical properties of porous media and hydraulic
fracture characteristics on pressure response are similar in the two cases of variable and constant flow rate. 5)
The decline rate models for linear and bi-linear flow are not applicable in pressure deconvolution technique.