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作者机构:[a]Department of Geology Faculty of Science Helwan University Cairo Egypt [b]Department of Physics “E. Pancini” University of Naples ‘Federico II’ Italy [c]Exploration General Manager PERENCO North Sinai Petroleum Company Cairo Egypt
出 版 物:《NRIAG Journal of Astronomy and Geophysics》 (NRIAG天文学和地球物理学杂志)
年 卷 期:2020年第9卷第1期
页 面:459-470页
主 题:Seismic inversion offshore Nile Delta gas channels gas-bearing sand zones spectral decomposition attribute well logging
摘 要:ABSTRACTFormulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to *** the West Delta Deep Marine (WDDM) concession many important gas reservoirs have been recently discovered. To improve the possibility of discovering new natural gas resources, an integrated prediction method approach is used in this study to identify the deep-water gas reservoirs. Post-stack seismic coloured inversion and the spectral decomposition attribute, combined with composite logs of five wells, are used to indicate the lateral and vertical variations of the gas channels in El Wastani Formation. Data conditioning and petrophysical analysis are performed. Both techniques help and improve visual evidence to detect gas channels. Coloured inverted seismic profile show relatively low impedance zones represent the gas channels. Spectral decomposition attribute solves the problem related to thin gas-sand layers through three different frequency magnitude values. The spatial distribution of the gas-channels properties indicates a good calibration at the well location with the effective porosity in the range of 15–35%. Comparing the results of the coloured seismic inversion with the spectral decomposition attribute, the low-frequency range through the spectral decomposition analysis is consistent with the low impedance values represents the gas channels. Furthermore, the methodology followed in the current study is advantageous to identify the gas reservoirs in various basins with similar geological settings.