利用埃及尼罗河三角洲超远叠置地震数据的光谱分解识别剩余和商业气体

Walaa M. Fathy, Asghar Shams
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引用次数: 0

摘要

在尼罗河三角洲,运营商面临的最大挑战之一是残余气饱和度和流动商业气之间的区别。频谱分解和频率属性在叠前地震资料上的应用,为思考频率衰减与储层物性的关系打开了大门。这项研究的主要动机是存在一个潜在的油气藏,具有非常好的地震反应,与附近一个主要生产油田的观测结果非常相似。该远景区的一口井的钻探结果并不令人鼓舞,该井被归类为有天然气显示的干井(测试储层的含气饱和度达到28%)。在这项研究中,我们将看到如何利用光谱分解来区分研究区域的低天然气饱和度和可移动的商业天然气。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Residual and Commercial Gas Discrimination by Spectral Decomposition Using Ultra-Far Stacked Seismic Data, Nile Delta, Egypt
Summary One of the big challenges facing operators in the on-shore Nile Delta is the discrimination between residual gas saturations and mobile commercial gas. The application of spectral decomposition and frequency attributes on pre-stack seismic data has opened the door to think about the relationship between frequency attenuation and reservoir properties. The main motivation of this study is the existence of a potential accumulation, with a very good seismic response, extremely comparable to that observed in a major producing field nearby. The results of a well drilled in this prospect were not encouraging and the well was classified as a dry well with gas shows (gas saturation in the tested reservoir reached 28%). We will see in this study how spectral decomposition can be used to discriminate between low gas saturations and mobile, commercial gas in the area of study.
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