吉林大学学报(地球科学版) ›› 2020, Vol. 50 ›› Issue (1): 285-293.doi: 10.13278/j.cnki.jjuese.20190001
• 地球探测与信息技术 • 上一篇
李博南1,2, 曲寿利1, 沈珲1
Li Bonan1,2, Qu Shouli1, Shen Hui1
摘要: 碳酸盐岩储层的微观孔隙结构普遍具有类型复杂和纵向变化快的特征。由于地球物理资料尺度的限制,现有的解释手段不能有效刻画这些关键特征。笔者采用临界孔隙度模型作为理论依据,建立了微观孔隙结构与宏观弹性参数响应之间的定量关系;以岩石物理实验数据为约束,提出了一种基于概率统计学的方法估算储层关键参数并识别岩石孔隙类型。在YS1井的应用表明:新方法有效挖掘了声波测井数据中隐含的微观信息,参数预测结果达到较高的精度(平均相对误差小于10%),可以为优质储层段的划分提供可靠的参考依据。
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