多点地质统计学在点坝内部构型三维建模中的应用

doi:10.11743/ogg20160415

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

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. 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
第一作者简介: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。
基金项目:
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 Keke^1,2, Hou Jiagen¹, Liu Yuming¹, Shi Yanqing¹, Liu Lin^1,3, Tang Li^1,4, Gao Xingjun⁵, Zhou Xinmao⁵

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/Abstract

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

中图分类号:

TE122.2

刘可可,侯加根,刘钰铭,等. 多点地质统计学在点坝内部构型三维建模中的应用[J]. 石油与天然气地质, 2016, 37(4): 577-583. doi: 10.11743/ogg20160415 Liu Keke,Hou Jiagen,Liu Yuming,et al. Application of multiple-point geostatistics in 3D internal architecture modeling of point bar[J]. Oil & Gas Geology, 2016, 37(4): 577-583. doi: 10.11743/ogg20160415

参考文献

[1] 邹拓,左毅,孟立新,等.地质建模技术在复杂断块老油田二次开发中的应用[J].石油与天然气地质,2014,35(1):143-147.Zou Tuo,Zuo Yi,Meng Lixin,et al.Application of geological modeling technology in secondary development of old and complex fault block oilfields[J].Oil&Gas Geology,2014,35(1):143-147.
[2] Miall A D.The geology of fluvial deposits[M]//The Geology of Fluvial Deposits.Heidelberg:Springer Berlin,1996:582.
[3] 王夕宾,钟建华,薛照杰,等.孤岛油田馆(1+2)砂层组沉积模式及其对剩余油分布的控制[J].中国石油大学学报:自然科学版,2004,28(6):16-20.Wang Xibin,Zhong Jianhua,Xue Zhaojie,et al.Sedimentary model of Guan (1+2) sand sets and its control over distribution of remaining oil in Gudao Oilfield[J].Journal of the University of Petroleum,China,2004,28(6):16-20.
[4] 闵小刚,陈开远,范廷恩.井-震结合进行河流相储层非均质性表征——以渤海湾盆地黄河口凹陷渤中263油田为例[J].石油与天然气地质,2011,32(3):375-381.Min Xiaogang,Chen Kaiyuan,Fan Ting'en.Heterogeneity characte-rization of fluvial facies reservoirs through integration of seismic and logging data[J].Oil&Gas Geology,2011,32(3):375-381.
[5] 范峥,吴胜和,岳大力,等.曲流河点坝内部构型的嵌入式建模方法研究[J].中国石油大学学报:自然科学版,2012,36(3):1-6.Fan Zheng,Wu Shenghe,Yue Dali,et al.Embedding modeling me-thod for internal architecture of point bar sand body in meandering river reservoir[J].Journal of China University of Petroleum,2012,36(3):1-6.
[6] Strebelle S.Conditional simulation of complex geological structures using multiple-point statistics[J].Mathematical Geology,2002,34(1):1-21.
[7] 吴胜和,李文克.多点地质统计学——理论、应用与展望[J].古地理学报,2005,7(1):137-144.Wu Shenghe,Li Wenke.Multiple-point geostatistics:theory,application and perspective[J].Journal of Palaeogeography,2005,7(1):137-144.
[8] 尹艳树,张昌民,李玖勇,等.多点地质统计学研究进展与展望[J].古地理学报,2011,13(2):245-252.Yin Yanshu,Zhang Changmin,Li Jiuyong,et al.Progress and prospect of multiple-point geostatistics[J].Journal of Palaeogeography,2011,13(2):245-252.
[9] Strebelle S,Zhang T.Non-stationary multiple-point geostatistical models[M]//Geostatistics Banff 2004.Netherlands:Springer,2005:235-244.
[10] Wu J,Zhang T,Boucher A.Non-stationary multiple-point geostatistical simulations with region concept[C]//Proceedings of the 20th SCRF meeting.Stanford:2007.
[11] Journel A G.Combining knowledge from diverse sources:an alternative to traditional data independence hypotheses[J].Mathematical Geology,2002,34(5):573-596.
[12] Zhang T.Rotation and affinity invariance in multiple-point geostatistics[C]//SCRF Annual Meeting Report.Stanford:2002.
[13] Caers J,Zhang T.Multiple-point geostatistics:A quantitative vehicle for integrating geologic analogs into multiple reservoir models[J].AAPG Memoir,2004,80(80):383-394.
[14] Liu Y.Using the Snesim program for multiple-point statistical simulation[J].Computers&Geosciences,2006,32(10):1544-1563.
[15] Hu L Y,Liu Y,Scheepens C,et al.Multiple-point simulation with an existing reservoir model as training image[J].Mathematical Geos-ciences,2014,46(2):227-240.
[16] Strebelle S.Sequential simulation drawing structures from training images[D].Stanford:Stanford University,2000.
[17] 张文彪,段太忠,郑磊,等.基于浅层地震的三维训练图像获取及应用[J].石油与天然气地质,2015,36(6):1030-1037.Zhang Wenbiao,Duan Taizhong,Zheng Lei,et al.Generation and application of three-dimensional MPS training images based on shallow seismic data[J].Oil&Gas Geology,2015,36(6):1030-1037.
[18] 岳大力,吴胜和,程会明,等.基于三维储层构型模型的油藏数值模拟及剩余油分布模式[J].中国石油大学学报:自然科学版,2008,32(2):21-27.Yue Dali,Wu Shenghe,Cheng Huiming,et al.Numerical reservoir simulation and remaining oil distribution patterns based on3D reservoir architecturemodel[J].Journal of China University of Petroleum,2008,32(2):21-27.
[19] 吴胜和,岳大力,刘建民,等.地下古河道储层构型的层次建模研究[J].中国科学(D辑:地球科学),2008(S1):111-121.Wu Shenghe,Yue Dali,Liu Jianmin,et al.Hierarchy modeling of subsurface palaeochannel reservoir architecture[J].Science in China:Series D,2008,(Supplement1):111-121.
[20] 岳大力,吴胜和,刘建民.曲流河点坝地下储层构型精细解剖方法[J].石油学报,2007,28(4):99-103.Yue Dali,Wu Shenghe,Liu Jianmin.An accurate method for anatomizing architecture of subsurface reservoir in point bar of meandering river[J].Acta Petrolei Sinica,2007,28(4):99-103.
[21] 王凤兰,白振强,朱伟.曲流河砂体内部构型及不同开发阶段剩余油分布研究[J].沉积学报,2011,29(3):512-519.Wang Fenglan,Bai Zhenqiang,Zhu Wei.Study on geological 3D reservoir architecture modeling and distribution of remaining oil of different development stage in meandering reservoir[J].Acta Sedi-mentologica Sinica,2011,29(3):512-519.
[22] 白振强,王清华,杜庆龙,等.曲流河砂体三维构型地质建模及数值模拟研究[J].石油学报,2009,30(6):898-902.Bai Zhenqiang,Wang Qinghua,Du Qinglong,et al.Study on 3D architecture geology modeling and digital simulation in meandering reservoir[J].Acta Petrolei Sinica,2009,30(6):898-902.
[23] 岳大力,陈德坡,徐樟有,等.济阳坳陷孤东油田曲流河河道储集层构型三维建模[J].古地理学报,2009,11(2):233-240.Yue Dali,Chen Depo,Xu Zhangyou,et al.Channel reservoir architecture 3D modeling of meandering fluvial reservoir in Gudong Oilfield,Jiyang Depression[J].Journal of Palaeogeography,2009,11(2):233-240.
[24] 李少华,卢文涛.基于沉积过程的储集层随机建模方法——以河流相储集层为例[J].古地理学报,2011,13(3):325-333.Li Shaohua,Lu Wentao.Depositional process-based reservoir stochas-tic modeling——A case of fluvial reservoir modeling[J].Journal of Palaeogeography,2011,13(3):325-333.
[25] 黄继新,穆龙新,陈和平,等.基于沉积界面的储集层建模方法初探[J].石油勘探与开发,2013,40(5):591-594.Huang Jixin,Mu Longxin,Chen Heping,et al.Preliminary study on a depositional interface-based reservoir modeling method[J].Petroleum Exploration and Development,2013,40(5):591-594.
[26] 李宇鹏,吴胜和,耿丽慧,等.基于空间矢量的点坝砂体储层构型建模[J].石油学报,2013,34(1):133-139.Li Yupeng,Wu Shenghe,Geng Lihui,et al.Spatial-vector-based reservoir architecture modeling of point bar sand[J].Acta Petrolei Sinica,2013,34(1):133-139.
[27] 尹艳树,张昌民,李少华,等.一种新的曲流河点坝侧积层建模方法[J].石油学报,2011,32(2):315-319.Yin Yanshu,Zhang Changmin,Li Shaohua,et al.A new stochastic modeling method for 3-D forecasting lateral accretion beddings of point bars in meandering rivers[J].Acta Petrolei Sinica,2011,32(2):315-319.
[28] Yin Y.A new stochastic modeling of 3-D mud drapes inside point bar sands in meandering river deposits[J].Natural resources research,2013,22(4):311-320.
[29] 贾爱林.中国储层地质模型20年[J].石油学报,2011,32(1):181-188.Jia Ailin.Research achievements on reservoir geological modeling of China in the past two decades[J].Acta Petrolei Sinica,2011,32(1):181-188.
[30] 段冬平,侯加根,刘钰铭,等.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.Duan Dongping,Hou Jiagen,Liu Yuming,et al.Application of multi-point geostatistics in delta front microfacies simulation[J].Journal of China University of Petroleum,2012,36(2):22-26.
[31] Strebelle S,Journel A.Reservoir modeling using multiple-point statistics[C]//SPE Annual Technical Conference and Exhibition.New Orleans:Society of Petroleum Engineers,2001.
[32] Guardiano F B,Srivastava R M.Multivariate geostatistics:beyond bivariate moments[M]//Geostatistics Troia'92.Netherlands:Springer,1993:133-144.
[33] 王鸣川,朱维耀,董卫宏,等.曲流河点坝型厚油层内部构型及其对剩余油分布的影响[J].油气地质与采收率,2013,20(3):14-17.Wang Mingchuan,Zhu Weiyao,Dong Weihong et al.Study on distribution and influence factors of remaining oil in point bar of meandering river[J].Petroleum Geology and Recovery Efficiency,2013,20(3):14-17.
[34] 周伟东,刘振坤,岳大力,等.济阳坳陷孤东油田七区中单元新近系馆陶组点坝构型[J].石油与天然气地质,2010,31(1):126-134.ZhouWeidong,Liu Zhenkun,Yue Dali,et al.An analysis of point bar configuration of the Neogene Guantao Formation in the middle unit of Block 7 in Gudong oilfield,the Jiyang Depression[J].Oil&Gas Geology,2010,31(1):126-134.
[35] 李军,宋新民,薛培华,等.扶余油田杨大城子组曲流河相油藏单砂体层次细分及成因[J].石油与天然气地质,2010,31(1):119-125.Lijun,Song Xinmin,Xue Peihua,et al.Hierarchical subdivision and origin of single sandbody in the reservoirs of meandering river facies in the Yangdachengzi formation of Fuyu oilfield[J].Oil&Gas Geology,2010,31(1):119-125.

多点地质统计学在点坝内部构型三维建模中的应用

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

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	王鸣川, 段太忠. 基于相序的多点地质统计学相建模方法及其应用[J]. 石油与天然气地质, 2023, 44(1): 238-246.
[2]	孙廷彬, 林承焰, 王玲. 塔里木盆地石炭系海相碎屑岩油藏微观剩余油形成机理与分布特征[J]. 石油与天然气地质, 2021, 42(6): 1334-1343.
[3]	曾联波, 吕鹏, 屈雪峰, 樊建明. 致密低渗透储层多尺度裂缝及其形成地质条件[J]. 石油与天然气地质, 2020, 41(3): 449-454.
[4]	胡迅, 尹艳树, 冯文杰, 王立鑫, 段太忠, 赵磊, 张文彪. 深水浊积水道训练图像建立与多点地质统计建模应用[J]. 石油与天然气地质, 2019, 40(5): 1126-1134.
[5]	胡光义, 范廷恩, 陈飞, 井涌泉, 宋来明, 梁旭, 肖大坤. 复合砂体构型理论及其生产应用[J]. 石油与天然气地质, 2018, 39(1): 1-10.
[6]	张文彪, 段太忠, 郑磊, 刘志强, 许华明, 赵磊. 基于浅层地震的三维训练图像获取及应用[J]. 石油与天然气地质, 2015, 36(6): 1030-1037.
[7]	康志江, 赵艳艳, 张允, 吕铁, 张冬丽, 崔书岳. 缝洞型碳酸盐岩油藏数值模拟技术与应用[J]. 石油与天然气地质, 2014, 35(6): 944-949.
[8]	李占东, 李吉, 李阳, 陈大有, 赵伟. 构造建模约束地震反演技术——以大庆萨尔图油田南八区为例[J]. 石油与天然气地质, 2013, 34(3): 400-406.
[9]	涂彬，丁祖鹏，刘月田. 火烧山油田H3层裂缝发育特征与剩余油分布关系[J]. 石油与天然气地质, 2011, 32(2): 229-235.
[10]	周伟东, 刘振坤, 岳大力, 周银邦, 钟欣欣. 济阳坳陷孤东油田七区中单元新近系馆陶组点坝构型[J]. 石油与天然气地质, 2010, 31(1): 126-134.
[11]	陈德坡, 王延忠, 柳世成, 杨仁金. 孤东油田七区西馆陶组上段储层非均质性及剩余油分布[J]. 石油与天然气地质, 2004, 25(5): 539-543,581.
[12]	李胜利, 于兴河, 高兴军, 王庆如, 梁卫, 周锦. 剩余油分布研究新方法——灰色关联法[J]. 石油与天然气地质, 2003, 24(2): 175-179.
[13]	赵卫华, 常剑, 杜燕, 冯永生, 孔自超. 深层低渗难采油藏的注水开发[J]. 石油与天然气地质, 2001, 22(3): 245-248.
[14]	陈亮, 牛艳平, 熊琦华. 三次采油前油藏精细描述的关键技术[J]. 石油与天然气地质, 1998, 19(2): 142-145,151.
[15]	曹跃华, 张春生, 刘忠保, 赖志云. 沙滩子高弯曲流点坝沉积特征[J]. 石油与天然气地质, 1995, 16(2): 184-189.