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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
Historic
Publication Date:
2013
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 http://hawaiilibrary.net/


Description
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.

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

Excerpt
Abdollahie Fard, I., Braathen, A., Mokhtari, M., and Alavi., A.: Interaction of the Zagros fold-thrust belt and Arabian-type, deep-seated folds in the Abadan plain and the Dezful embayment, SW Iran, Petrol. Geosci., 12, 347–362, 2006.; Burnett, M. D. and Castagna, J. P.: Advances in spectral decomposition and reflectivity modeling in the Frio formation of the Gulf Coast, Search and Discovery, 40113, http://www.searchanddiscovery.com/documents/2004/burnett/images/burnett.pdf, 2004.; Castagna, J. P., Sun, S., and Siegfried, R. W.: Instantaneous spectral analysis: Detection of low frequency shadows associated with hydrocarbons, The Leading Edge, 22, 120–7, 2003.; Castagna, J. P. and Sun, S.: Comparison of spectral decomposition methods, first break, 24, 75–79, March 2006.; Dimri, V. P., Vedanti, N., and Chattopadhyay, S.: Fractal analysis of aftershock sequence of Bhuj earthquake – a wavelet based approach, Curr. Sci., 88, 1617–1620, 2005.; Ghazban, F.: Petroleum Geology of the Persian Gulf, University of Tehran, ISBN: 964-03-9420-3, 2007.; Goloshubin, G. M., Korneev, V. A., and Vingalov, V. M.: Seismic low-frequency effects from oil saturated reservoir zones, SEG International Exposition and 72nd Annual Meeting, 2002.; Liner, C.: An overview of wavelet transform concepts and applications, University of Houston, 1–17, 26 February 2010.; Mallat, S.: A wavelet tour of signal processing, Academic Press, London, 178, 1999.; Saadati Nejad, M. R., Hasani, H., Mohammado Khorasani, M., Javaherian, A. and Sokooti, M. R.: Application of spectral decomposition seismic attribute for identification geological characteristics, 71st EAGE Conference & Exhibition-Amsterdam, The Netherlands, 2009.; Saadatinejad, M. R. and Sarkarinejad, K.: Application of the spectral decomposition technique for characterizing reservoir extensional system in the Abadan Plain, southwestern Iran, Mar. Petrol. Geol., Elsevier, March, 1205–1217, 2011.; Saadatinejad, M. R., Hassani, H., and Javaherian, A.: Representation of the thickness distribution of channels and stratigraphic events at one of the Iranian filed in Hormuz Strait using composite plot and RGB display technique of spectral decomposition, J. Geophys. Eng., July, 8, 412–421, 2011.; Saadatinejad, M. R., Javaherian, A., and Sarkarinejad, K.: Investigation of the various spectral decomposition methods to detect and explore hidden complex reservoir structures and their hydrocarbon potentials in northwestern part of the Persian Gulf, Journal of Energy Exploration and Exploitation, July, 30, 867–887, 2012.; Sinha, S., Routh, P. S., Anno, P. D., and Castagna, J. P.: Spectral decomposition of seismic data with continuous-wavelet transform, Geophys., 70, 19–25, 2005.

 

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