首页> 外文期刊>NRIAG Journal of Astronomy and Geophysics >Integrated prediction of deep-water gas channels using seismic coloured inversion and spectral decomposition attribute, West offshore, Nile Delta, Egypt
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Integrated prediction of deep-water gas channels using seismic coloured inversion and spectral decomposition attribute, West offshore, Nile Delta, Egypt

机译:使用地震彩色反演和光谱分解属性,西近海,埃及,埃及综合预测深水气体通道综合预测

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In 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.
机译:在西三角洲深海(WDDM)拍手中,最近发现了许多重要的气体藏。为了改善发现新的天然气资源的可能性,本研究中使用了综合预测方法方法,以识别深水燃气藏。堆栈后地震彩色反转和光谱分解属性与五个井的复合原木相结合,用于表示EL Wastani形成中的气体通道的横向和垂直变化。进行数据调节和岩石物理分析。这两种技术都有助于和改善视觉证据来检测气体通道。彩色倒置地震曲线显示出相对低的阻抗区域代表气体通道。光谱分解属性通过三种不同的频率幅度值解决与薄的气囊层相关的问题。气体通道特性的空间分布表明在井位置的良好校准,有效孔隙度为15-35%。将彩色地震反演的结果与光谱分解属性进行比较,通过光谱分解分析的低频范围与低阻抗值一致表示气体通道。此外,在本研究中遵循的方法是有利的,可以在各种盆地中识别具有类似地质环境的各种盆地的气体储层。

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