Title: Characterisation of hydrocarbon reservoirs by analysing deconvolved impulse response

Authors: Behzad Vaferi; Reza Eslamloueyan

Addresses: Reservoir Studies Research Center (RSRC), School of Chemical and Material Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran ' Department of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran

Abstract: Analysing well testing signals provides a practical way to characterise hydrocarbon reservoirs. Since having a perfect constant rate is hardly possible, petroleum engineers often deal with the multi-rate well testing signals. This study describes an application of the coupled deconvolution-wavelet transform scheme for extraction of reservoir impulse response from the multi-rate well testing signals. Performance of the proposed algorithm is validated using a set of smooth, incomplete and noisy simulated examples. Extraction of the impulse response from the incomplete well test signals has not been considered in the literature up to now. The results confirm an excellent performance of the developed algorithm for revealing the wellbore, reservoir and boundary. The parameters of dual porosity reservoir are estimated whit an absolute average relative deviation percent (AARD%) of 4.68%. [Received: February 10, 2016; Accepted: February 6, 2017]

Keywords: multi-rate well testing signal; coupled deconvolution-wavelet transform; impulse response; reservoir model identification; reservoir parameter estimation.

DOI: 10.1504/IJOGCT.2018.089963

International Journal of Oil, Gas and Coal Technology, 2018 Vol.17 No.2, pp.129 - 142

Received: 02 Oct 2016
Accepted: 02 Jun 2017
Published online: 26 Feb 2018 *

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