吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (1): 14-24.doi: 10.13278/j.cnki.jjuese.201701102

• 地质与资源 • 上一篇    下一篇

扇三角洲沉积储层特征与定量评价——以辽河西部凹陷某试验区于楼油层为例

陈欢庆, 穆剑东, 王珏, 邓西里   

  1. 中国石油勘探开发研究院, 北京 100083
  • 收稿日期:2016-05-06 出版日期:2017-01-26 发布日期:2017-01-26
  • 作者简介:陈欢庆(1979),男,高级工程师,主要从事储层地质学研究工作,E-mail:hqchen2009@163.com
  • 基金资助:
    国家科技重大专项项目(2011ZX05016-006)

Reservoir Characteristics of Fan Delta Deposits and Its Quantitative Evaluation: Taking Yulou Oil Bearing Sets in a Certain Experimental Area of West Depression in Liaohe Basin as an Example

Chen Huanqing, Mu Jiandong, Wang Jue, Deng Xili   

  1. Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
  • Received:2016-05-06 Online:2017-01-26 Published:2017-01-26
  • Supported by:
    Supported bythe Magnitude Project of Ministry of Science and Technology of China(2011ZX05016-006)

摘要: 随着蒸汽吞吐开采方式进入后期,储层非均质性对开发效果的影响日益凸显。以辽河西部凹陷某试验区为例,综合岩心、镜下薄片、测井、分析测试等多种资料,实现储层发育特征表征。研究区目的层属扇三角洲前缘沉积,由于水下分流河道的频繁分流改道,砂体相互切叠,储层非均质性强烈。优选充分反映储层性质影响因素的参数,基于经典的聚类分析软件平台,实现扇三角洲沉积储层定量评价。将目的层储层划分为Ⅰ类、Ⅱ类、Ⅲ类和Ⅳ类4种类型,储层分类正判率超过85%。不同类型储层发育明显受沉积相控制,Ⅰ类和Ⅱ类储层多位于水下分流河道和河口砂坝的位置,而Ⅲ类和Ⅳ类储层多位于水下分流河道间砂或前缘席状砂的位置。不同类型储层在转换热采方式时应该区别对待。

关键词: 辽河西部凹陷, 于楼油层, 储层评价, 聚类分析, 扇三角洲

Abstract: With steam soaking turned into later period, influence of reservoir heterogeneity on reservoir development effect is more and more remarkable. Taking Yulou oil bearing sets in a certain experimental area in south end of westward slope of West depression in Liaohe Basin as an example, reservoir is characterized based on geological data, logging data, and testing data. A fan delta front sedimentary system formed regionally, and showed a strong reservoir heterogeneity due to frequent river diversion of underwater distributary channel. Representative parameters for reservoir properties were selected for quantitative evaluation with a clustering analysis method. The target reservoir was classified into four types, type I, type II, type III, and type IV. The types of reservoir were obviously controlled by sedimentary facies. Reservoir of type I and type II were mainly located in place of underwater distributary channel and channel mouth bar, and reservoirs of type III and type IV primarily situated in position of sandstone between underwater distributary channels and frontal sheet sand. Each type of reservoir should be treated specifically during thermal recovery system changing.

Key words: west depression in Liaohe basin, Yulou oil bearing sets, reservoir evaluation, clustering analysis, fan delta

中图分类号: 

  • P618.13
[1] 吕红华,任明达,柳金诚,等.Q型主因子分析与聚类分析在柴达木盆地花土沟油田新近系砂岩储层评价中的应用[J].北京大学学报(自然科学版),2006,42(6):740-745. Lü Honghua, Ren Mingda, Liu Jincheng, et al. Application of Q-Model Principal Factor Analysis and Clustering Method in Evaluation on Sandstone Reservoirs of the Neogene in Huatugou Oilfield, Qaidam Basin[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2006, 42(6):740-745.
[2] 罗蛰潭,崔秉荃,黄思静,等.粘土矿物对碎屑岩储层评价的控制理论探讨及应用实例[J].成都地质学院学报,1991,18(3):1-12. Luo Zhetan, Cui Bingquan, Huang Sijing, et al. The Theoretical Approach and the Case Application of the Control of Reservoir Evaluation for the Clastic Reservoir by Means of Clay Minerals[J]. Journal of Chengdu College of Geology, 1991, 18(3):1-12.
[3] 李红雯,邹红.测井分析软件系统及其在储层评价中的应用[J].石油与天然气地质,1997,18(1):45-49. Li Hongwen, Zou Hong. Log Analysis Software System and Its Application in Reservoir Evaluation[J]. Oil &Gas Geology, 1997, 18(1):45-49.
[4] 马乾,鄂俊杰,李文华,等.黄骅坳陷北堡地区深层火成岩储层评价[J].石油与天然气地质,2000,21(4):337-340,344. Ma Qian, E Junjie, Li Wenhua, et al. Reservoir Evaluation of Deep-Seated Igneous Rocks in Beipu Region, Huanghua Depression[J]. Oil & Gas Geology, 2000, 21(4):337-340,344.
[5] 王建东,刘吉余,于润涛,等.层次分析法在储层评价中的应用[J].大庆石油学院学报,2003,27(3):12-14. Wang Jiandong, Liu Jiyu, Yu Runtao, et al. Applications of Hierarchy Analysis Method in Reservoir Evaluation[J]. Journal of Daqing Petroleum Institute, 2003, 27(3):12-14.
[6] Dubost F X, Zheng S Y, Corbett P W M. Analysis and Numerical Modelling of Wireline Pressure Tests in Thin-Bedded Turbidites[J]. Journal of Petroleum Science and Engineering, 2004,45:247-261.
[7] 刘吉余,彭志春,郭晓博.灰色关联分析法在储层评价中的应用:以大庆萨尔图油田北二区为例[J].油气地质与采收率,2005,12(2):13-15. Liu Jiyu, Peng Zhichun, Guo Xiaobo. Applied of Grey Correlation Analysis on Reservoir Evaluated:Taking Beier Area in Saertu Oilfield in Daqing as an Example[J]. Petroleum Geology and Recovery Efficiency, 2005, 12(2):13-15.
[8] 梁西文,郑荣才,张涛,等.建南构造晚二叠世长兴期点礁和滩的高精度层序地层与储层评价[J].成都理工大学学报(自然科学版),2006,33(4):407-413. Liang Xiwen, Zheng Rongcai, Zhang Tao, et al. Accurate Sequence Stratigraphy and Reservoir Assessment of Point Reefs and Shoals in the Late Permian Changxing Formation of the Jiannan Structure,Lichuan,Hubei,China[J]. Journal of Chengdu University of Technology (Science ﹠ Technology Edition), 2006, 33(4):407-413.
[9] Mohsen Saemi, Morteza Ahmadi, Ali Yazdian Varjani. Design of Neural Networks Using Genetic Algorithm for the Permeability Estimation of the Reservoir[J]. Journal of Petroleum Science and Engineering, 2007, 59:97-105.
[10] 杜旭东,赵齐辉,倪国辉,等.俄罗斯尤罗勃钦油田储层评价与油气分布规律[J]. 吉林大学学报(地球科学版),2009,39(6):968-975. Du Xudong, Zhao Qihui, Ni Guohui, et al. Reservoir Evaluation and Oil-Gas Distribution of Yurubcheno Oil Field in Russia[J]. Journal of Jilin University(Earth Science Edition), 2009, 39(6):968-975.
[11] Satoru Takahashi, Anthony R Kovscek. Wettability Estimation of Low-Permeability, Siliceous Shale Using Surface Forces[J]. Journal of Petroleum Science and Engineering, 2010, 75:33-43.
[12] Ali Al-Ghamdi, Bo Chen, Hamid Behmanesh, et al. An Improved Triple-Porosity Model for Evaluation of Naturally Fractured Reservoirs[J]. SPE132879, 2011:397-404.
[13] 李武广,杨胜来,绍先杰,等.变差函数在储层评价及开发中的应用:以杨家坝油田为例[J].地质科技情报,2011,30(4):83-87. Li Wuguang, Yang Shenglai, Shao Xianjie, et al. Application of Variogram in Reservoir Evaluation and Development:Taking Yangjiaba Oilfield for Example[J]. Geological Science and Technology Information, 2011, 30(4):83-87.
[14] 张仲宏,杨正明,刘先贵,等.低渗透油藏储层分级评价方法及应用[J].石油学报,2012,33(3):437-441. Zhang Zhonghong, Yang Zhengming, Liu Xiangui, et al. A Grading Evaluation Method for Low-Permeability Reservoirs and Its Application[J]. Acta Petrolei Sinica, 2012, 33(3):437-441.
[15] 张佳佳,李宏兵,姚逢昌.油页岩的地球物理识别和评价方法[J].石油学报,2012,33(4):625-632. Zhang Jiajia, Li Hongbing, Yao Fengchang. A Geophysical Method for the Identification and Evaluation of Oil Shale[J]. Acta Petrolei Sinica, 2012, 33(4):625-632.
[16] Ali Shafiei, Maurice B Dusseault, Sohrab Zendehbou-di, et al. A New Screening Tool for Evaluation of Steamflooding Performance in Naturally Fractured Carbonate Reservoirs[J]. Fuel, 2013, 108:502-514.
[17] 陈欢庆,曹晨,梁淑贤,等.储层孔隙结构研究进展[J].天然气地球科学,2013,24(2):227-237. Chen Huanqing, Cao Chen, Liang Shuxian, et al. Research Advances on Reservoir Pores[J]. Natural Gas Ggeoscience, 2013, 24(2):227-237.
[18] 陈欢庆,林春燕,张晶,等.储层成岩作用研究进展[J].大庆石油地质与开发,2013,32(2):1-9. Chen Huanqing, Lin Chunyan, Zhang Jing, et al. Research Advances of Reservoir Diageneses[J]. Petroleum Geology and Oilfield Development in Daqing, 2013, 32(2):1-9.
[19] 陈欢庆.火山岩储层层内非均质性定量评价:以松辽盆地徐东地区营城组一段为例[J]. 中国矿业大学学报,2012,41(4):641-649,685. Chen Huanqing. Quantitative Estimation of Inter Layers Heterogeneity Characteristics of Volcanic Reservoir:Taking One Member of Yingcheng Formation in Xudong Area for an Example[J]. Journal of China University of Mining & Technology, 2012, 41(4):641-649, 685.
[20] 蔡建琼,于惠芳,朱志洪,等.SPSS统计分析实例精选[M].北京:清华大学出版社,2006. Cai Jianqiong, Yu Huifang, Zhu Zhihong, et al. Cases Well-Chosen on Statistical Analysis of SPSS[M]. Beijing:Tsinghua University Press, 2006.
[1] 唐华风, 张亚东, 邹明倬, 陆国超, 户景松, 张津铭, 卞海越. 渤海湾盆地莱州湾凹陷K油田中生界火山岩储层定量评价[J]. 吉林大学学报(地球科学版), 2026, 56(3): 739-753.
[2] 陈欢庆, 龚亮, 孙磊, 韩洁. 辽河盆地西部凹陷于楼油层高分辨率层序地层学[J]. 吉林大学学报(地球科学版), 2025, 55(3): 731-744.
[3] 王伟, 王兴, 周勋, 韦生达. 砂卵石地层盾构区间地表沉降影响因素聚类分析#br#[J]. 吉林大学学报(地球科学版), 2024, 54(1): 219-230.
[4] 李彦泽, 商琳, 王群会, 孙彦春, 邢建鹏, 蒋东梁, 陈浩. 断陷盆地强非均质低渗-致密砂岩储层综合分类——以渤海湾盆地南堡凹陷为例[J]. 吉林大学学报(地球科学版), 2022, 52(6): 1830-1843.
[5] 孙哲, 于海波, 彭靖淞, 胡安文, 李飞. 渤海湾盆地庙西中南洼围区原油成因类型及分布主控因素[J]. 吉林大学学报(地球科学版), 2021, 51(6): 1665-1677.
[6] 骆奕杉, 李兆. 基于统计方法评价沁水盆地南部煤层气开采对地下水环境的影响[J]. 吉林大学学报(地球科学版), 2021, 51(2): 516-525.
[7] 王夏斌, 姜在兴, 胡光义, 范廷恩, 王俊辉, 卢欢. 辽河盆地西部凹陷古近系沙四上亚段沉积相及演化[J]. 吉林大学学报(地球科学版), 2019, 49(5): 1222-1234.
[8] 夏景生, 王志坤, 王海荣, 薛林, 王恺, 刘成权. 渤海湾盆地南堡凹陷西斜坡中深层“混合型河口坝”成因及沉积学意义[J]. 吉林大学学报(地球科学版), 2017, 47(6): 1642-1653.
[9] 张宇焜, 胡晓庆, 牛涛, 张显文, 高玉飞, 王晖, 范廷恩, 卜范青. 古地貌对渤海石臼坨凸起古近系沉积体系的控制作用[J]. 吉林大学学报(地球科学版), 2015, 45(6): 1589-1596.
[10] 姜洪福,张世广. 复杂断块油田高分辨率层序地层学及砂体几何学特征--以海塔盆地贝尔凹陷呼和诺仁油田贝301区块南屯组二段为例[J]. 吉林大学学报(地球科学版), 2014, 44(5): 1419-1431.
[11] 杨勇强, 邱隆伟, 孙宝强, 付育璞. 微观组分聚类分析在物源体系恢复中的应用——以民丰洼陷沙三段中亚段为例[J]. J4, 2012, 42(1): 30-38.
[12] 苗长盛, 董清水, 张旗, 崔大勇, 许圣传, 王敏雪. 储层流动单元研究在油田老区挖潜中的应用--以吉林油田乾146区块开发为例[J]. J4, 2011, 41(1): 39-45.
[13] 陈永良, 李学斌. 基于核函数理论的系统聚类分析[J]. J4, 2010, 40(5): 1211-1216.
[14] 刘招君, 孙平昌, 杜江峰, 方石, 陈永成, 贾建亮, 孟庆涛. 汤原断陷古近系扇三角洲沉积特征[J]. J4, 2010, 40(1): 1-8.
[15] 杜旭东, 赵齐辉, 倪国辉, 蔡红芽, 周开凤, 陈杏霞, 朱建伟. 俄罗斯尤罗勃钦油田储层评价与油气分布规律[J]. J4, 2009, 39(6): 968-975.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 尤敏鑫,刘建民. 同位素地球化学在峨眉山大火成岩省研究中的应用现状与进展[J]. 吉林大学学报(地球科学版), 2014, 44(4): 1231 -1243 .
[2] 杨春梅, 李洪奇,陆大卫,张方礼,高 原,邵英超. 不同驱替方式下岩石电阻率与饱和度的关系[J]. J4, 2005, 35(05): 667 -671 .
[3] 祝洪臣,张炯飞,权 恒. 大兴安岭中生代两期成岩成矿作用的元素、同位素特征及其形成环境[J]. J4, 2005, 35(04): 436 -0442 .
[4] 朱建伟, 赵刚, 刘博, 郭巍, 成俊. 油页岩测井识别技术及应用[J]. J4, 2012, 42(2): 289 -295 .
[5] 陈力,梁海安,张文娟,荣帆. 模糊数学方法在城市工程地质环境区划中的应用--以抚顺市城区为例[J]. J4, 2008, 38(5): 837 -0840 .
[6] 高桂梅,苏 克,王文颖,甘树才,刘招君. 吉林省桦甸油页岩中稀土元素和微量元素的研究[J]. J4, 2006, 36(6): 974 -0979 .
[7] 吴孔运,蒋忠诚,叶 晔. 不同植物群落对灰岩试块溶蚀速率的影响[J]. J4, 2007, 37(5): 967 -0971 .
[8] 周彦章,迟宝明,刘中培. 山东夏甸金矿床充水机理构造控制模式[J]. J4, 2008, 38(2): 255 -0260 .
[9] 张渊,刘连登,孙景贵,陈国华,张洪喜,闫复传,杨开春. 胶东西北部黄埠岭金矿床两期次叠加成矿[J]. J4, 2008, 38(1): 21 -0026 .
[10] 鲁程鹏, 束龙仓, 苑利波, 张蓉蓉, 黄币娟, 王彬彬. 基于示踪试验求解岩溶含水层水文地质参数[J]. J4, 2009, 39(4): 717 -721 .