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首页> 外文期刊>Oceanographic Literature Review >Gas prediction through the LMR method using post-stack inversion and multi-attributes, F3 cube, North Sea, Netherlands
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Gas prediction through the LMR method using post-stack inversion and multi-attributes, F3 cube, North Sea, Netherlands

机译:通过使用堆栈反演和多属性,F3立方体,北海,荷兰的LMR方法通过LMR方法预测

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摘要

Shallow gas can be considered as an indication of deep hydrocarbon reserves. In addition, if shallow gas accumulation is large enough, it could be considered a commercial gas field. Therefore, it can be an exploration tool, although it can be hazardous when positioning the platform at seabed or when drilling a borehole. In order to reduce the risk of shallow gas hazards, bright spot analysis has to be done. Bright spots are one of the direct hydrocarbon indicators (DHI) indicating the presence of gas. Bright spot analysis especially for gas sand is used to differentiate between false bright spot and bright spot. In order to delineate lateral variation of the seismic features of interest, post-stack attributes as envelope and RMS amplitude have significant results. Moreover, Lambda-Rho and Mu-Rho cubes are created using multi-attributes after applying post-stack inversion on 3D seismic data to predict the presence of gas. Since P-impedance inversion is sensitive to lithology, fluid, and porosity, it is difficult to discriminate each effect from the others and the results will be ambiguous. In order to reduce this ambiguity, facilitating and enhancing reservoir details using seismic inversion, therefore, the Lambda-Mu-Rho (LMR) method will be used to reduce the interpretation ambiguity as Mu-Rho is sensitive to lithology (matrix) and Lambda-Rho is sensitive to the fluid.
机译:浅气可以被认为是深碳氢化合物储备的指示。此外,如果浅气体积聚足够大,则可以被认为是商业气体领域。因此,它可以是探索工具,但是当在海底或钻孔时将平台或钻孔时,它可能是危险的。为了降低浅气体危害的风险,必须进行亮点分析。明亮的斑点是指示存在气体的直接碳氢化合物指标(DHI)之一。亮点分析特别适用于气体砂来区分假亮点和亮点。为了描绘感兴趣的地震特征的横向变化,堆叠后属性作为信封和RMS幅度具有显着的结果。此外,在在3D地震数据上施加堆栈反转后,使用多属性创建λ-rho和mu-rho立方体以预测气体的存在。由于P抗性反转对岩性,流体和孔隙率敏感,因此难以区分其他效果,并且结果将是模糊的。为了减少这种模糊性,促进和增强利用地震反转的储层细节,因此,λ-mu-rho(LMR)方法将用于减少解释模糊,因为MU-RHO对岩性(基质)和λ-敏感rho对流体敏感。

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  • 来源
    《Oceanographic Literature Review》 |2020年第9期|1959-1959|共1页
  • 作者

    S.A. Negm; M.H. Khalil; A. Bakr;

  • 作者单位

    Geophysics Department Faculty of Sciences Cairo University Cairo Egypt;

    Geophysics Department Faculty of Sciences Cairo University Cairo Egypt;

    Geophysics Department Faculty of Sciences Cairo University Cairo Egypt;

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  • 正文语种 eng
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