多属性反演储层描述方法及在K油田的应用

摘要

砂体叠置关系分析是砂泥岩油田储层描述的一大难题, 复杂的叠置关系极大地影响开发阶段储量计算, 储量品质评价以及布井方案的精确性.通过构建地震多属性反演的储层特征描述方案, 应用步聪法选取最优属性及多属性神经网络反演方法, 实现基于测井数据与地震属性非线性组合的岩性识别技术, 有效提高了储层的纵向分辨能力.应用效果分析表明, 地震多属性反演相比于常规叠后波阻抗反演, 可获得高分辨率的密度数据, 满足储层精细研究的要求, 有效解决K油田储层叠置表征问题.%Sand body superposition relationship analysis is a challenging issue for reservoir characteristics description.The complex superposition relationship can significantly affect the reserve calculation, quality evaluation and accuracy of the well placement.Through constructing reservoir characteristics description scheme based on the seismic multi-attribute inversion technology, the"step-wise method"is utilized to choose the optimal attributes and multi-attribute neutral network inversion algorithm.Hence, the lithologic identification technology based on the integration of log data and seismic attribute non-linearity is realized and the vertical reservoir resolution is improved effectively.The application results show that compared with the conventional post-stack impedance inversion, the seismic multi-attribute inversion can obtain high resolution density data, which meets the requirements of the fine reservoir research and effectively solves the problem of reservoir superposition characterization in K oil field.