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Application of Wavelet Transform for Evaluation of Hydrocarbon Reservoirs: Example from Iranian Oil Fields in the North of the Persian Gulf : Volume 20, Issue 2 (08/04/2013)

By Saadatinejad, M. R.

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Book Id: WPLBN0003988644
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Application of Wavelet Transform for Evaluation of Hydrocarbon Reservoirs: Example from Iranian Oil Fields in the North of the Persian Gulf : Volume 20, Issue 2 (08/04/2013)  
Author: Saadatinejad, M. R.
Volume: Vol. 20, Issue 2
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Hassani, H., & Saadatinejad, M. R. (2013). Application of Wavelet Transform for Evaluation of Hydrocarbon Reservoirs: Example from Iranian Oil Fields in the North of the Persian Gulf : Volume 20, Issue 2 (08/04/2013). Retrieved from

Description: Amirkabir University of Technology, Mining, Metallurgical and Petroleum Engineering, Tehran, I. R. Iran. The Persian Gulf and its surrounding area are some of the biggest basins and have a very important role in producing huge amounts of hydrocarbon, and this potential was evaluated in order to explore the target for geoscientists and petroleum engineers. Wavelet transform is a useful and applicable technique to reveal frequency contents of various signals in different branches of science and especially in petroleum studies. We applied two major capacities of continuous mode of wavelet transform in seismic investigations. These investigations were operated to detect reservoir geological structures and some anomalies related to hydrocarbon to develop and explore new petroleum reservoirs in at least 4 oilfields in the southwest of Iran. It had been observed that continuous wavelet transform results show some discontinuities in the location of faults and are able to display them more clearly than other seismic methods. Moreover, continuous wavelet transform, utilizing Morlet wavelet, displays low-frequency shadows on 4 different iso-frequency vertical sections to identify reservoirs containing gas. By comparing these different figures, the presence of low-frequency shadows under the reservoir could be seen and we can relate these variations from anomalies at different frequencies as an indicator of the presence of hydrocarbons in the target reservoir.

Application of wavelet transform for evaluation of hydrocarbon reservoirs: example from Iranian oil fields in the north of the Persian Gulf

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