高级检索

    基于Marchenko理论的格林函数恢复及应用

    Green's function retrieval and imaging based on Marchenko theory

    • 摘要: 面对复杂油气藏的高质量成像需求,有效消除上覆地层及围岩对目标区域成像的影响至关重要。基于 Marchenko 聚焦理论,研究了利用 Marchenko 方程组恢复格林函数的方法,再将重构的格林函数与参考格林函数进行数据融合,生成信息更丰富的格林函数应用于Marchenko成像。基于多维反褶积成像条件进行成像处理,结果表明,该方法能有效压制多次波、改善深部成像质量,所得到的虚拟道集精度更高,成像分辨率优于常规逆时偏移的成像结果,为复杂油气藏高精度成像提供了有效手段。

       

      Abstract: In response to the demand for high-quality imaging of complex oil and gas reservoirs, it is crucial to effectively mitigate the influence of overlying strata and surrounding rocks on target-area imaging. Based on the Marchenko focusing theory, this paper investigates the method of using the Marchenko equations to retrieve the Green's function. The latter is then integrated with the reference Green's function through data fusion to generate a more informative Green's function for Marchenko imaging. Application results using multidimensional deconvolution imaging conditions demonstrate that this method effectively suppresses multiples and improves deep-target imaging quality. The obtained virtual gathers exhibit higher accuracy, with the resolution surpassing that of conventional reverse-time migration. The proposed method effectively enables high-precision imaging of complex hydrocarbon reservoirs.

       

    /

    返回文章
    返回