地质统计学反演在轮古油田碳酸盐岩储层预测中的应用

Geo-statistical inversion application of carbonate reservoir prediction in Lungu oilfield

轮古油田碳酸盐岩储层以洞穴、孔洞、裂缝孔洞型储集体为主要储集空间,具有不规则形态、非均匀分布的特点,给储层预测带来极大的困难,常规的反演方法不能很好地描述其储层分布的特征。利用基于马尔科夫链-蒙特卡罗算法的地质统计学反演对碳酸盐岩储层进行预测,能够较为合理地描述碳酸盐岩缝洞体系的变化特征,解决了该区碳酸盐岩非均质性储层预测的地质问题。

The reserving space of carbonate reservoirs in Lungu oilfield is mainly of caves,holes,cracks pore-cave types and has the characteristics of irregular form and non-uniform distribution,which brings great difficulties for reservoir prediction.As conventional inversion method failed to make a good description on distribution characteristics of reservoirs,the geo-statistical inversion method based on Markov chain-Monte carlo algorithm has been adopted to make the carbonate reservoir prediction.By use of the geostatistical inversion method,the change characteristics of the carbonate fractured-vuggy system has been reasonably described and the geological problem of carbonate heterogeneity reservoir prediction has been solved.