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Dolomite reservoir prediction method and system based on well and seismic combination, and storage medium

机译:基于井和地震组合的白云石储层预测方法和系统

摘要

The invention discloses a dolomite reservoir prediction method and system based on well and seismic combination, and storage medium. The method steps include: obtaining the dolomite index characteristic curve through well log sensitivity analysis, and distinguishing the dolomite and limestone according to the difference in their response range; after the artificial intelligence deep learning is performed on the dolomite index characteristic curve of the drilling area, the dolomite index characteristic curve of the virtual drilling area is obtained; according to the dolomite index characteristic curve of the drilling area and the virtual drilling area, the post-stack seismic data is used for inversion to obtain the distribution and development status of the dolomite reservoir in the test area. The invention effectively distinguishes the dolomite and limestone through the dolomite index characteristic curve, and accurately predicts the distribution and development status of the dolomite reservoir in the test area with less wells.
机译:本发明公开了一种基于井和地震组合的白云石储层预测方法和系统。方法步骤包括:通过井对数敏感性分析获得白云石指数特性曲线,并根据响应范围的差异区分白云石和石灰石;在对钻孔区域的白云石指数特征曲线上进行人工智能深度学习之后,获得了虚拟钻孔区域的白云石指数特性曲线;根据钻孔区域的白云石指数特性曲线和虚拟钻孔区域,堆叠后地震数据用于反转以获得测试区域中白云石储存器的分布和发育状态。本发明有效地将白云石和石灰石通过白云石指数特征曲线区分,并且精确地预测白云石储存器在测试区域中的分布和发育状态,较少的井。

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