低渗透砂岩,孔隙结构,油水两相驱替,有限体积法,渗流特征,采收率,油藏 ," /> 低渗透砂岩,孔隙结构,油水两相驱替,有限体积法,渗流特征,采收率,油藏 ,"/> low-permeability sandstones,pore structure,oil-water two-phase displacement,finite volume method,fluid flow characteristics,recovery rate,oil reservoir ,"/> <span class="cf0">低渗透砂岩油藏水驱渗流特征</span>

吉林大学学报(地球科学版) ›› 2025, Vol. 55 ›› Issue (4): 1077-1090.doi: 10.13278/j.cnki.jjuese.20240013

• 地质与资源 • 上一篇    下一篇

低渗透砂岩油藏水驱渗流特征

路研,刘宗宾,廖新武,李超,王亚   

  1. 中海石油(中国)有限公司天津分公司,天津 300452

  • 收稿日期:2024-01-14 出版日期:2025-07-26 发布日期:2025-08-05
  • 作者简介:路研(1992—),女,开发地质工程师,博士,主要从事海上油气田开发、储层地质方面的研究,E-mail:luyan19@cnooc.com.cn
  • 基金资助:

    国家科技重大专项(2017ZX05009001)

Fluid Flow Characteristics in Low-Permeability Sandstone Reservoirs

Lu Yan, Liu Zongbin, Liao Xinwu, Li Chao, Wang Ya   

  1. Tianjin Branch of CNOOC China Limited, Tianjin 300452, China

  • Received:2024-01-14 Online:2025-07-26 Published:2025-08-05
  • Supported by:
    the National Science and Technology Major Project Foundation of China (2017ZX05009001)

摘要:

低渗透砂岩孔隙结构复杂,微纳米尺度渗流特征的三维定量表征和赋存机理分析对于精细油藏描述和提高采收率具有重要意义。为了研究相对低速和相对高速水驱条件下的油水两相驱替实验,选取G油田沙四上亚段两块微观孔隙结构特征相似的亲水型砂岩样品,通过图像处理技术获取了不同驱替阶段油相和水相在三维孔隙空间的分布,探讨了水驱过程中油相在三维孔隙空间和单个孔隙中的赋存特征和变化情况;此外,结合有限体积法,研究还明确了水驱开发过程中微观孔隙结构非均质性、驱替模式及水驱速率等多因素控制下的渗流特征及渗流规律。研究结果表明:水驱过程中,大而连续的油滴被打散,逐渐分离成小的油滴并呈离散状态分布在三维孔隙空间;水驱过后油滴的连通性变差,几何形态变得更加平滑和规则;微观非均质性强且连通性较好的砂岩在水驱开发过程中普遍发育优势水流通道,水相的绕流和窜流行为导致其在孔隙空间中的波及效率较低;水驱速率也是影响驱油效率和油水运移路径的一个重要因素,提高水驱速率可以显著增大注水毛管数,从而提高采收率。研究还发现,低渗透砂岩油藏在合适的界面张力条件下,采用提高油水黏度比和增加注水毛管数的驱替模式能够有效提高驱油效率。

关键词: 低渗透砂岩')">

低渗透砂岩, 孔隙结构, 油水两相驱替, 有限体积法, 渗流特征, 采收率, 油藏

Abstract:

The pore structure of low-permeability sandstone is complex. The three-dimensional (3D) quantitative characterization of micro-nano scale fluid flow characteristics and the analysis of occurrence mechanisms are of great significance for fine reservoir description and enhanced oil recovery. Two water-wet sandstone samples with similar micro-pore structure characteristics from the upper Es4 Member in G Oilfield were selected, and X-ray CT coreflooding experiments under relatively low and relatively high flooding rates were performed. The distribution of oil, water and particle phases in 3D pore space at different water flooding stages was obtained by image processing technology. The occurrence states and changes of oil phases in 3D pore space and individual pores during the water flooding process were discussed. In addition, combined with the finite volume method, the fluid flow characteristics under the control of multiple factors (e.g. microscopic pore structure heterogeneity, displacement mode and waterflooding rate) were also determined. The results indicate that the large and continuous oil drops were broken up and gradually separated into small oil droplets during the water flooding process, and the small oil droplets distributed in a discrete state in the 3D pore space. After water flooding, the connectivity of oil droplets becomes poorer and the geometry becomes smoother and more regular. The dominant fluid flow channels are generally well developed in the sandstones with strong microscopic heterogeneity and good pore connectivity, resulting in the development of the flow around and crossflow behaviors. Therefore, the water sweep efficiency in the sandstones with strong microscopic heterogeneity is low. The water flooding rate is also an important factor affecting the oil displacement efficiency and oil/water migration path. Increasing water displacement rate can significantly increase the number of water injection capillaries, thus enhancing oil recovery rate. This study also indicates that the oil displacement efficiency of low-permeability sandstones can be effectively improved by increasing the oil-water viscosity ratio and the injected capillary number under an appropriate interfacial tension. The research results provide an important theoretical basis for enhancing oil recovery (EOR) of low-permeability and water-wet sandstone reservoirs.

Key words: low-permeability sandstones')">

low-permeability sandstones, pore structure, oil-water two-phase displacement, finite volume method, fluid flow characteristics, recovery rate, oil reservoir

中图分类号: 

  • TE122.2
[1] 邵逸飞, 龚启舟, 许权 张越, 王言章, 王世隆. 基于八叉树网格的时间域航空电磁深切割地形三维正演模拟[J]. 吉林大学学报(地球科学版), 2025, 55(6): 2120-2131.
[2] 刘静怡, 陈守民, 申战勇, 王筱晔, 董宪鹏, 张雯, 朱玉双, .

致密储层微观孔隙结构特征及其对渗流特征的影响——以鄂尔多斯盆地姬塬地区长6储层为例 [J]. 吉林大学学报(地球科学版), 2025, 55(5): 1434-1444.

[3] 王梓麟, 时婧玥, 杨英, 徐栋, 曾泉树, 张益畅. 深层煤岩孔隙结构表征及压裂缝导流能力影响因素[J]. 吉林大学学报(地球科学版), 2025, 55(4): 1061-1076.
[4] 高波, 潘哲君, 刘连杰, 李玲玲, 洪淑新, 潘会芳, 张波. 松辽盆地徐家围子断陷沙河子组砂砾岩储层有效性综合评价[J]. 吉林大学学报(地球科学版), 2025, 55(1): 31-45.
[5] 龙刚, 沈金松, 苏朝阳, 冉尚. 电各向异性海底多金属硫化矿地层时域电磁响应模拟与特征分析[J]. 吉林大学学报(地球科学版), 2025, 55(1): 274-288.
[6] 王亚, 刘宗宾, 马奎前, 路研, 刘超. 基于LDA协同SSOM算法的低渗透砂岩孔隙结构评价[J]. 吉林大学学报(地球科学版), 2025, 55(1): 298-311.
[7] 刘宗宾, 李超, 路研, 王亚, 黄建廷. 基于孔隙结构表征的低渗透砂岩流体赋存特征及渗透率评价[J]. 吉林大学学报(地球科学版), 2024, 54(4): 1124-1136.
[8] 谢通, 陈威, 潘诗洋, 石万忠, 王亿, 张焱林, 段轲, 任志军. 鄂西地区二叠系大隆组含气页岩岩相类型及储层特征[J]. 吉林大学学报(地球科学版), 2024, 54(4): 1154-1176.
[9] 张文, 蓝升, 马文良, 王佳. 新疆油页岩升温过程中孔隙结构演化特征[J]. 吉林大学学报(地球科学版), 2023, 53(6): 1689-1705.
[10] 熊安亮, 程国峰, 李东涛, 丁维盼, 刘宇羲, 陈刚, 杨磊, 袁耀利, 朱玉双, 刘林玉. 超低渗储层微观孔隙结构及剩余油分布特征——以吴起油田白豹地区长4+5为例[J]. 吉林大学学报(地球科学版), 2023, 53(5): 1338-1351.
[11] 赵越, 李磊, 司运航, 王会敏. 浅层页岩气储层孔隙分形特征及控制因素——以云南昭通地区龙马溪组为例[J]. 吉林大学学报(地球科学版), 2022, 52(6): 1813-1829.
[12] 崔焕玉, 沈金松, 冉尚, 周杰民. 基于有限体积法的煤矿巷道瞬变电磁响应二维反演与富水区探测应用[J]. 吉林大学学报(地球科学版), 2022, 52(4): 1314-.
[13] 黄鑫, 段冬平, 刘彬彬, 李炳颖, 丁芳, 王伟, 娄敏. 西湖凹陷花港组绿泥石成因及其对储层物性的影响[J]. 吉林大学学报(地球科学版), 2021, 51(3): 669-679.
[14] 张益明, 秦小英, 郭智奇, 牛聪, 王迪, 凌云. 针对致密砂岩气储层复杂孔隙结构的岩石物理模型及其应用[J]. 吉林大学学报(地球科学版), 2021, 51(3): 927-939.
[15] 吴蒙, 秦勇, 王晓青, 李国璋, 朱超, 朱士飞. 中国致密砂岩储层流体可动性及其影响因素[J]. 吉林大学学报(地球科学版), 2021, 51(1): 35-51.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 刘建峰,迟效国,周燕,王铁夫,金巍,周建波,董春艳,黎广荣. 小兴安岭东北部金林岩体全岩-角闪石Rb-Sr年龄[J]. J4, 2005, 35(06): 690 -0693 .
[2] 黄冠星, 孙继朝, 张英, 刘景涛, 张玉玺, 荆继红. 珠江三角洲污灌区地下水重金属含量及其相互关系[J]. J4, 2011, 41(1): 228 -234 .
[3] 肖长来,梁秀娟,崔建铭,兰盈盈,张君,李书兰,梁瑞奇,郑策. 确定含水层参数的全程曲线拟合法[J]. J4, 2005, 35(06): 751 -0755 .
[4] 郭振华,王璞珺,印长海,黄玉龙. 松辽盆地北部火山岩岩相与测井相关系研究[J]. J4, 2006, 36(02): 207 -0214 .
[5] 孙永河,付晓飞,吕延防,付广,阎冬. 地震泵抽吸作用与油气运聚成藏物理模拟[J]. J4, 2007, 37(1): 98 -0104 .
[6] 谢忠雷,陈卓,孙文田,尹波. 不同茶园茶叶氟含量及土壤氟的形态分布[J]. J4, 2008, 38(2): 293 -0298 .
[7] 贾军涛,王璞珺,邵 锐,程日辉,张 斌,侯景涛,李金龙,边伟华. 松辽盆地东南缘营城组地层序列的划分与区域对比[J]. J4, 2007, 37(6): 1110 -1123 .
[8] 康立明,任战利. 多参数定量研究流动单元的方法--以鄂尔多斯盆地W93井区为例[J]. J4, 2008, 38(5): 749 -0756 .
[9] 薛永超, 程林松. 白豹油田长8油藏成岩储集相[J]. J4, 2011, 41(2): 365 -371 .
[10] 姜纪沂, 张宇东, 谷洪彪, 左兰丽. 基于灰色关联熵的地下水环境演化模式判别模型研究[J]. J4, 2009, 39(6): 1111 -1116 .