【摘要】 优选自然伽马、速度、密度等测井响应特征曲线为目标砂砾岩体岩性和物性预测的敏感参数,将砂砾岩体从目标层位其他复杂岩性中区分开来,并预测有利的物性发育区。运用均方根振幅、能量半衰时间、弧长等地震属性分析结合波阻抗反演预测砂砾岩体的平面分布趋势和空间展布形态。针对储层纵向分辨率差的现状,尝试运用分频解释技术进行含油气砂体追踪。通过多学科、多技术手段综合应用,实现砂砾岩体有利储层发育区预测。更多还原

【Abstract】 Characteristic geophysical logging response curves were optimized ,including the sensitive parameters of GR, VEL, DEN and RT-RXO for predicting lithology and property in the target areas, which separated the glutenite from the other complicated rocks, and predicted the favorable area with better reservoir physical properties. The areal distribution trend and spatial distribution of glutenite were predicted by using the seismic attributes such as root mean square amplitude, energy semi-decay period and arch length in combination with seismic impedance analysis. In view of the situation that the vertical resolution of the reservoir is poor, the frequency decomposition technology is tried to trace the oil and gas bearing sands. By comprehensive application of multi-disciplinary and multi-technology, the favorable glutenite reservoir is well predicted.更多还原