石油与天然气地质 ›› 2016, Vol. 37 ›› Issue (4): 577-583.doi: 10.11743/ogg20160415

• 油气开发 • 上一篇    下一篇

多点地质统计学在点坝内部构型三维建模中的应用

刘可可1,2, 侯加根1, 刘钰铭1, 史燕青1, 柳琳1,3, 唐力1,4, 高兴军5, 周新茂5   

  1. 1. 中国石油大学(北京) 地球科学学院, 北京 102249;
    2. 中国石油 长城钻探工程有限公司 测井公司, 辽宁 盘锦 124011;
    3. 中国石油 长城钻探工程有限公司 地质研究院, 辽宁 盘锦 124010;
    4. 中国石油 华北油田公司 勘探开发研究院, 河北 任丘 062552;
    5. 中国石油 勘探开发研究院, 北京 100083
  • 收稿日期:2015-03-04 修回日期:2016-06-20 出版日期:2016-08-08 发布日期:2016-09-06
  • 通讯作者: 侯加根(1963-),男,教授,油气田开发地质。E-mail:houjg63@yahoo.com.cn。 E-mail:houjg63@yahoo.com.cn
  • 作者简介:刘可可(1988-),男,硕士研究生,油气田开发地质学。E-mail:liukk.cup.edu@163.com。
  • 基金资助:
    国家自然科学基金青年基金项目(41202106);国家科技重大专项(2011ZX05010);中国石油大学(北京)基金项目(KYJJ2012-01-19)。

Application of multiple-point geostatistics in 3D internal architecture modeling of point bar

Liu Keke1,2, Hou Jiagen1, Liu Yuming1, Shi Yanqing1, Liu Lin1,3, Tang Li1,4, Gao Xingjun5, Zhou Xinmao5   

  1. 1. College of Geosciences, China University of Petroleum(Beijing), Beijing 102249, China;
    2. Wireline Logging Company of Great Wall Drilling Company, PetroChina, Panjin, Liaoning 124011, China;
    3. Geology Research Institute of Great Wall Drilling Company, PetroChina, Panjin, Liaoning 124010, China;
    4. Exploration and Development Research Institute of Huabei Oilfield Company, PetroChina, Renqiu, Hebei, 062552, China;
    5. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
  • Received:2015-03-04 Revised:2016-06-20 Online:2016-08-08 Published:2016-09-06

摘要: 首次将多点地质统计学应用于点坝内部三维建模。基于60 m超小井距资料,统计点坝内部夹层发育特征,利用统计结果人机交互绘制训练图像,定量表征了夹层的厚度、倾角、频率、密度、水平间距等信息。选取典型点坝,将单井解释夹层沿着夹层面垂直投影至点坝顶面,结合点坝沉积样式,获取建模过程中旋转数据体,以此来表征夹层走向信息。利用多点地质统计学Snesim算法进行点坝内部侧积夹层三维建模,与序贯指示模拟方法在同一点坝和旋转数据体基础上建立的点坝内部三维构型模型进行对比分析。研究结果表明,序贯指示模拟方法建立的点坝内部三维构型模型,虽然能够在一定程度上表征点坝内部夹层特征,但在表征夹层的连续性方面效果不佳,并且由于缺少训练图像的约束,只能定性展示夹层发育情况,无法达到定量刻画的程度。而利用多点地质统计学方法建立的模型,点坝内部夹层受控于训练图像及旋转数据体的双重约束,能够定量再现夹层的发育规模和产状,精确表征点坝内部夹层的几何形态与空间结构。结合水淹信息表明,此多点方法建立的点坝内部三维构型模型对于剩余油分布研究有指导意义。

关键词: 训练图像, 旋转数据体, 密井网, 多点地质统计学, 点坝, 剩余油分布

Abstract: For the first time,an application of Multiple-point geostatistics in 3D internal architecture modeling of point bar is proposed in this paper.Data from dense well patterns (well spacing of 60 m) offer us the statistical distribution characteristics of interbeds within the point bar.Training images are produced by interactive processing of the statistical results for quantitative characterization of the interbeds,such as their thickness,dip,frequency,density and horizontal spacing.A typical point bar is first choosed for vertically projecting the interbeds interpreted from single well data to its top surface along the surfaces of interbeds,and then a 3D spinning cube is calculated in combination with the depositional patterns of the point bar for strike characterization of the interbeds.The Snesim algorithm is used for 3D architectural modeling of lateral accretion,and the results are compared with those from sequential indicator simulation (SIS).It is concluded that SIS may represent the characteristics of interbeds,but it is inadequate to characterize their continuity.Besides,a lack of constraints from training images forbids satisfactory quantitative characterization.In contrast,the model based on Snesim is under the dual control of training images and 3D spinning cube,thus it can quantitatively characterize the distribution,geometry and spatial structure of the interbeds.The data of watered-out reservoirs reveal that the architecture model built with multiple-point geostatistics method can guide the mapping of remaining oil.

Key words: training image, 3D spinning cube, dense well-pattern, multiple-point geostatistics, point bar, remaining oil residual

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