Lithologic Reservoirs ›› 2021, Vol. 33 ›› Issue (2): 147-154.doi: 10.12108/yxyqc.20210215

• OIL AND GAS FIELD DEVELOPMENT • Previous Articles     Next Articles

Microscopic characteristics of remaining oil distribution and quantitative characterization of its producibility

WANG Lihui1, XIA Huifen1, HAN Peihui2, CAO Ruibo2, SUN Xianda1, ZHANG Siqi1   

  1. 1. School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, Heilongjiang, China;
    2. Research Institute of Exploration and Development, PetroChina Daqing Oilfield Co., Ltd, Daqing 163712, Heilongjiang, China
  • Received:2020-09-16 Revised:2020-11-28 Online:2021-04-01 Published:2021-03-31

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Abstract: At present,there are some problems in the quantitative characterization of microscopic remaining oil, such as large gap between macro and micro analysis results,unclear image and relatively few analysis methods. In view of the above problems,by means of core displacement experiment,frozen slicing technology and core fluorescence analysis system,the distribution characteristics and producing degree of microscopic remaining oil in different displacement modes,different core positions and different types were analyzed. The results show that the ratio of remaining oil in injection end,middle end and produced end of core increases in turn. After water flooding,the remaining oil is mainly in free state and bound state,accounting for 93.65% in total,and only 6.35% in semi bound state. Polymer flooding has obvious effect on remaining oil with cluster,intergranular adsorption,thin film on pore surface and corner. After ASP flooding,the proportion of remaining oil with granular adsorption and intergranular adsorption is high. There is little difference between the results of fluorescence analysis and core flooding experiment, which verifies the correctness of the analysis results

Key words: core fluorescence analysis technology, microscopic remaining oil, distribution characteristics, producing degree, quantitative characterization

CLC Number: 

  • TE357
[1] 白振强, 吴胜和, 付志国.大庆油田聚合物驱后微观剩余油分布规律.石油学报, 2013, 34(5):924-931. BAI Z Q, WU S H, FU Z G. Microscopic residual oil distribution after polymer flooding in Daqing Oilfield. Acta Petrolei Sinica, 2013, 34(5):924-931.
[2] 李洁, 隋新光, 邵振波.大庆油田葡一组油层聚驱后剩余油微观分布规律研究.大庆石油地质与开发, 2005, 24(2):26-28. LI J, SUI X G, SHAO Z B. Study on micro distribution of remaining oil in pu1 formation of Daqing Oilfield after polymer flooding. Petroleum Geology & Oilfield Development in Daqing, 2005, 24(2):26-28.
[3] 郭娟, 赵迪斐, 梁孝柏, 等.页岩纳米孔隙的结构量化表征:以川东南地区五峰组为例.岩性油气藏, 2020, 32(5):113-121. GUO J, ZHAO D F, LIANG X B, et al. Quantitative characterization of shale nanopore structure:a case study of Wufeng Formation in southeast Sichuan. Lithologic Reservoirs, 2020, 32(5):113-121.
[4] 宋明明, 韩淑乔, 董云鹏, 等.致密砂岩储层微观水驱油效率及其主控因素.岩性油气藏, 2020, 32(1):135-143. SONG M M, HAN S Q, DONG Y P, et al. Microscopic water displacement efficiency and its main controlling factors in tight sandstone reservoir. Lithologic Reservoirs, 2020, 32(1):135-143.
[5] 孙先达.储层微观剩余油分析技术开发与应用研究.长春:吉林大学, 2011. SUN X D. Development and application of micro residual oil analysis technology. Changchun:Jilin University, 2011.
[6] 李宜强, 戴琦雯.激光扫描共聚焦显微镜在微孔隙研究中的应用.电子显微学报, 2014, 33(2):123-128. LI Y Q, DAI Q W. Application of laser scanning confocal microscopy in micropore research. Journal of Chinese Electron Microscopy Society, 2014, 33(2):123-128.
[7] 狄勤丰, 张景楠, 华帅, 等.聚合物-弱凝胶调驱核磁共振可视化实验.石油勘探与开发, 2017, 44(2):270-274. DI Q F, ZANG J N, HUA S, et al. Polymer weak gel profile control,nuclear magnetic resonance visualization experiment. Petroleum Exploration and Development, 2017, 44(2):270-274.
[8] 夏惠芬, 李文卓, 刘洋, 等.弱碱三元驱后剩余油定量分析.科学技术与工程, 2019, 19(24):127-131. XIA H F, LI W Z, LIU Y, et al. Quantitative analysis of residual oil after weak alkali ASP flooding. Science Technology and Engineering, 2019, 19(24):127-131.
[9] 刘丽丽, 王立辉, 杨树人, 等.微孔道聚合物溶液驱替残余油变形研究.工程热物理学报, 2018, 39(2):348-354. LIU L L, WANG L H, YANG S R, et al. Study on residual oil displacement by microporous polymer solution. Journal of Engineering Thermophysics, 2018, 39(2):348-354.
[10] 殷代印, 项俊辉, 王东琪.大庆油田长垣外围特低渗透扶杨油层综合分类.岩性油气藏, 2018, 30(1):150-154. YIN D Y, XIANG J H, WANG D Q. Comprehensive classification of ultra-low permeability Fuyang oil layers in the periphery of Daqing Oilfield placanticline. Lithologic Reservoirs, 2018, 30(1):150-154.
[11] 袁瑞, 朱锐, 瞿建华, 等.一种基于岩石薄片图像的粒度分析新方法.岩性油气藏, 2015, 27(5):104-107. YUAN R, ZHU R, QU J H, et al. A new method of grain size analysis based on rock slice image. Lithologic Reservoirs, 2015, 27(5):104-107.
[12] 程杰成, 夏惠芬, 马文国, 等.三元体系的界面特性对驱油效率的影响机制. 中国石油大学学报(自然科学版), 2014, 38(4):162-168. CHENG J C, XIA H F, MA W G, et al. Influence mechanism of interfacial characteristics of ternary system on oil displacement efficiency. Journal of China University of Petroleum(Edition of Natural Science), 2014, 38(4):162-168.
[13] 徐祖新.基于CT扫描图像的页岩储层非均质性研究.岩性油气藏, 2014, 26(6):46-49. XU Z X. Study on shale reservoir heterogeneity based on CT scanning image. Lithologic Reservoirs, 2014, 26(6):46-49.
[14] 徐清华.大庆油田三元复合驱后微观剩余油分布特征.大庆石油地质与开发, 2019, 38(4):110-116. XU Q H. Distribution characteristics of micro residual oil after ASP flooding in Daqing Oilfield. Petroleum Geology & Oilfield Development in Daqing, 2019, 38(4):110-116.
[15] 汤明光, 刘清华, 张贵才, 等.抗垢碱提高稠油采收率机理研究.岩性油气藏, 2014, 26(3):125-130. TANG G M, LIU Q H, ZHANG G C, et al. Study on mechanism of enhancing heavy oil recovery by anti-scaling alkali. Lithologic Reservoirs, 2014, 26(3):125-130.
[16] 孙先达, 张民志, 索丽敏, 等.应用激光共聚焦方法研究火山岩中流体和熔融包裹体特征.电子显微学报, 2006(增刊1):339-340. SUN X D, ZHANG M Z, SUO L M, et al. Study on characteristics of fluid and melt inclusions in volcanic rocks by laser confocal method. Journal of Chinese Electron Microscopy Society, 2006(Suppl 1):339-340.
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