首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多点地质统计学方法在三角洲前缘微相模拟中的应用
引用本文:段冬平,侯加根,刘钰铭,张友,岳大力,史燕青.多点地质统计学方法在三角洲前缘微相模拟中的应用[J].中国石油大学学报(自然科学版),2012,36(2):22-26.
作者姓名:段冬平  侯加根  刘钰铭  张友  岳大力  史燕青
作者单位:中国石油大学油气资源与探测国家重点实验室,北京102249;中国石油大学地球科学学院,北京102249
基金项目:国家科技重大专项课题,国家自然科学青年基金,教育部博士点新教师基金
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。

关 键 词:现代沉积  密井网  训练图像  多点地质统计学  三角洲前缘

Application of multi-point geostatistics in delta front microfacies simulation
DUAN Dong-ping , HOU Jia-gen , LIU Yu-ming , ZHANG You , YUE Da-li , SHI Yan-qing.Application of multi-point geostatistics in delta front microfacies simulation[J].Journal of China University of Petroleum,2012,36(2):22-26.
Authors:DUAN Dong-ping  HOU Jia-gen  LIU Yu-ming  ZHANG You  YUE Da-li  SHI Yan-qing
Institution:1,2(1.State Key Laboratory of Petroleum Resource and Prospecting in China University of Petroleum,Beijing 102249,China; 2.College of Geosciences in China University of Petroleum,Beijing 102249,China)
Abstract: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.
Keywords:modern sedimentation  dense well pattern  training image  multi-point geostatistics  delta front
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号