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首页> 中文期刊> 《中国石油大学学报（自然科学版）》 >多点地质统计学方法在三角洲前缘微相模拟中的应用

多点地质统计学方法在三角洲前缘微相模拟中的应用

         
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摘要

通过鄱阳湖三角洲现代沉积的研究确立水下分流河道与河口坝微相的平面形态与结构特征,结合永安镇油田密井网区资料统计的两种微相宽度建立定量的训练图像.以此为基础,利用多点地质统计学Sneisim算法进行三角洲前缘的微相模拟.模拟结果具有忠实于井点数据、不同微相平面形态与发育规模受训练图像定量约束的特点；能够再现三角洲前缘水下分流河道与河口坝的几何特征与空间结构.利用该方法可以建立反映现代沉积特征与地下实际情况的沉积微相模型.%By the study of modern deposition in Poyang Lake Delta, planar morphology and structural features of underwater distributary channel and mouth bar were established. And the widths of two facies were established by statistics of dense well network data in Yonganzhen Oilfield, then the quantitative training images were created. On the basis, the delta front microfacies was simulated using multi-point geostatistics Sneisim algorithm. The simulation results have the characteristics of matching to well point data, and planar morphology and size of different minrofacies are constrainted by quantitative characteristics of the training images, which reproduces geometric characteristics and spatial structure of delta front distributary channel and mouth bar. The sedimentary microfacies model created by this method can well reflect modem sedimentary characteristics and the actual situation of underground.

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