Current trends toward permanent downhole instrumentation allow the acquisition of large sets of well test data, ranging over much longer periods of time than was possible in the past. Such data sets can contain information about the reservoir at a substantially larger radius of investigation than the one accessible to conventional well test analysis methods, which is limited to the interpretation of single flow periods at constant rates. By contrast, deconvolution methods do not suffer from such a constraint as these are designed to perform analyses at variable flow rates. Deconvolution is a technique, which can be used to convert measured transient pressures from variable rate changes into the transient pressure response as a result of an equivalent constant flowing rate.

In this study, we will discuss a field case from an intelligent field, where deconvolution techniques have been successfully implemented in pressure transient analyses. The subject intelligent field has generated large data sets that span months to years. The case study showed that the additional reservoir characterization has been achieved through revealing responses in deeper regions of investigation, which would have been impossible without applying a deconvolution technique. The technique has proven the communication between reservoir layers and identifies the presence of aquifer. Methods independent of the deconvolution methods have suggested aquifer volumes that are very close to the one determined from the transient model. The upper completed layer is isolated from high porosity, high permeability zone below it, which has not been obvious from the conventional analysis of data within the normal test duration. Deconvolution method used managed to address the issue and allow the utilization of the complete data set for enhanced reservoir characterization.

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