Artificial Neural Network (ANN) to estimate reservoir parameters in Naturally Fractured Reservoirs using well test data

Article ID	Journal	Published Year	Pages	File Type
8127037	Journal of Petroleum Science and Engineering	2014	10 Pages	PDF

Abstract

Moreover, a field data for a dual-porosity fractured reservoir is applied to make a comparison of ANN×³s outputs with the results obtained using different well test softwares and normalization method. The results show a good consistency between ANN and well test softwares.

Keywords

Stehfest algorithm Well testing Naturally fractured reservoir Artificial Neural Network Fracture parameters Chebyshev polynomials

Related Topics

Physical Sciences and Engineering Earth and Planetary Sciences Economic Geology

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Artificial Neural Network (ANN) to estimate reservoir parameters in Naturally Fractured Reservoirs using well test data

Authors

M. Adibifard, S.A.R. Tabatabaei-Nejad, E. Khodapanah,