摘要
曲流河河道迁移频繁导致点坝及点坝砂体内部侧积层发育复杂化,不同尺度构型单元的分布存在较大不确定性,增加了地质建模的难度.该文通过对现代沉积实例开展剖析并与精细地质研究相结合,确定了研究区曲流河构型发育模式,建立不同尺度发育的构型单元地质知识库,提出构型模式控制下的多尺度地质建模方法——分两个级次开展多点地质统计建模.首先针对点坝砂体级次建模,利用基于过程的非条件模拟手段获取和筛选与研究区储层发育认识相匹配的训练图像,建立全区模型;然后针对点坝砂体内部级次建模,选取密井网井区,采用不同位置处的旋转方位角约束控制侧积层的发育程度,建立局部模型.最后,利用井点数据吻合度以及生产动态数据,开展模型的可靠性验证.研究结果表明:该方法可以更好地建立与井点相匹配的多尺度随机地质模型,实现了井间点坝和侧积层分布的合理预测,模型吻合度提高至92.7%,研究成果对国内外类似油田的构型地质建模具有借鉴意义.
The frequent migration of meandering river channels leads to the complication of point bars and within them.Distribution of the architectural units at different scales has large uncertainties and it makes geological modeling more difficult.Based on the analysis of modern sedimentary examples and the detailed geological research,development pattern of the architectures of meandering river in the study area was determined.Geological knowledge base of the architectural units at different scales was established.A multi-scale geological modeling method under the control of architectural pattern was proposed and multi-point statistical modeling was carried out in two stages.Aiming at the point-bar sand body level modeling,the whole area model was established by process-based non-conditional simulation method.Training images matching the reservoir knowledge in the study area were obtained and screened.Aiming at the subsequent sublevel modeling of internal point-bar sand body,the local model was then established by selecting dense well area and rotating azimuth angles at different positions to control the layout of lateral accretion layers.Finally,reliability of the model was verified by well data and production data.The results showed that this method can establish a multi-scale stochastic geological model of point-bars and lateral accretion layers which match the wells better.Reasonable prediction of architectural units between wells is achieved and accuracy of the model is improved up to 92.7%.The results of this study can be used for reference in the geological modeling of similar oilfields at home and abroad.
作者
陈仕臻
林承焰
任丽华
CHEN Shizhen;LIN Chengyan;REN Lihua(School of Geosciences,China University of Petroleum,Qingdao,Shandong 266580,China;Reservoir Geology Key Laboratory of Shandong Province,Qingdao,Shandong 266580,China;Key Laboratory of Deep Oil and Gas,China University of Petroleum(East China),Qingdao,Shandong 266580,China)
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2020年第3期552-562,共11页
Journal of China University of Mining & Technology
基金
国家科技重大专项课题项目(2017ZX05009-001,2016ZX05031001-001-003)。
关键词
多尺度
构型模式
训练图像
多点地质统计学
地质建模
曲流河
multi-scale
architectural pattern
training image
multi-point geostatistics
geological modeling
meandering river
