Application of multi-point geostatistics in delta front microfacies simulation

作者：Duan Dong Ping^*; Hou Jia Gen; Liu Yu Ming; Zhang You; Yue Da Li; Shi Yan Qing

来源：Journal of China University of Petroleum(Edition of Natural Science), 2012, 36(2): 22-26.

DOI：10.3969/j.issn.1673-5005.2012.02.004

• Delta front
• Distributary channels
• Geo-statistics
• Geometric characteristics
• Microfacies
• Morphology and size
• Point data
• Poyang Lake
• Quantitative characteristics
• Sedimentary characteristics
• Sedimentary micro-facies
• Spatial structure
• Structural feature
• Training image
• Well networks
• Well patterns

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 microfacies 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 modern sedimentary characteristics and the actual situation of underground.

• 出版日期2012
• 单位中国石油大学（华东）