油气田开发

复杂碳酸盐岩油藏水淹层电性响应特征与划分标准--以哈萨克斯坦让纳若尔油田为例

  • 王飞 ,
  • 边会媛 ,
  • 赵伦 ,
  • 俞军 ,
  • 谭成仟
展开
  • 1.长安大学地质工程与测绘学院,西安 710064;
    2.西安科技大学地质与环境学院,西安 710054;
    3.中国石油勘探开发研究院,北京 100083;
    4.西安石油大学地球科学与工程学院,西安 710065
王飞(1983-),男,河北保定人,博士,长安大学讲师,主要从事测井资料处理与解释及岩石物理建模方面的教学与科研工作。地址:陕西省西安市雁塔路126号,长安大学地质工程与测绘学院,邮政编码:710064。E-mail: wangfei@chd.edu.cn

收稿日期: 2020-02-24

  修回日期: 2020-09-08

  网络出版日期: 2020-11-27

基金资助

国家科技重大专项“丝绸之路经济带大型碳酸盐岩油气藏开发关键技术”(2017ZX05030-002); 陕西省自然科学基础研究项目(2020JQ-747); 中央高校基本科研业务费专项(300102260107)

Electrical responses and classification of complex water-flooded layers in carbonate reservoirs: A case study of Zananor Oilfield, Kazakhstan

  • WANG Fei ,
  • BIAN Huiyuan ,
  • ZHAO Lun ,
  • YU Jun ,
  • TAN Chengqian
Expand
  • 1. College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710064, China;
    2. College of Geology & Environment, Xi'an University of Science and Technology, Xi'an 710054, China;
    3. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China;
    4. College of Earth Sciences and Engineering, Xi'an Shiyou University, Xi'an 710065, China

Received date: 2020-02-24

  Revised date: 2020-09-08

  Online published: 2020-11-27

摘要

选取哈萨克斯坦让纳若尔碳酸盐岩油藏孔隙型、裂缝型、裂缝孔隙型及复合型岩心开展水淹层电性响应特征实验,重点分析了注入水矿化度对碳酸盐岩储集层电性响应特征的影响,同时基于利用电阻率计算孔隙型储集层油水相对渗透率的数学模型与发育裂缝的储集层两相流相对渗透率模型,结合实验分析结果制定了复杂孔隙结构碳酸盐岩油藏水淹层划分标准。研究表明:注入水矿化度是影响碳酸盐岩储集层电阻率的主要因素,注入低矿化度水(淡水)时,电阻率与含水饱和度的关系曲线形态呈U型;注入高矿化度水(咸水)时,电阻率与含水饱和度的关系曲线形态呈L型。碳酸盐岩油藏水淹层划分标准具体为:①孔隙型储集层油层含水率(fw)范围为fw≤5%,弱水淹层含水率范围为5%<fw≤20%;中水淹层含水率范围为20%<fw≤50%;强水淹层含水率范围为fw>50%;②裂缝型、裂缝孔隙型、复合型储集层油层含水率范围为fw≤5%,弱水淹层含水率范围为5%<fw≤10%;中水淹层含水率范围为10%<fw≤50%;强水淹层含水率范围为fw>50%。图10表3参20

本文引用格式

王飞 , 边会媛 , 赵伦 , 俞军 , 谭成仟 . 复杂碳酸盐岩油藏水淹层电性响应特征与划分标准--以哈萨克斯坦让纳若尔油田为例[J]. 石油勘探与开发, 2020 , 47(6) : 1205 -1211 . DOI: 10.11698/PED.2020.06.13

Abstract

Experiments of electrical responses of waterflooded layers were carried out on porous, fractured, porous-fractured and composite cores taken from carbonate reservoirs in the Zananor Oilfield, Kazakhstan to find out the effects of injected water salinity on electrical responses of carbonate reservoirs. On the basis of the experimental results and the mathematical model of calculating oil-water relative permeability of porous reservoirs by resistivity and the relative permeability model of two-phase flow in fractured reservoirs, the classification standards of water-flooded layers suitable for carbonate reservoirs with complex pore structure were established. The results show that the salinity of injected water is the main factor affecting the resistivity of carbonate reservoir. When low salinity water (fresh water) is injected, the relationship curve between resistivity and water saturation is U-shaped. When high salinity water (salt water) is injected, the curve is L-shaped. The classification criteria of water-flooded layers for carbonate reservoirs are as follows: (1) In porous reservoirs, the water cut (fw) is less than or equal to 5% in oil layers, 5%-20% in weak water-flooded layers, 20%-50% in moderately water-flooded layers, and greater than 50% in strong water-flooded layers. (2) For fractured, porous-fractured and composite reservoirs, the oil layers, weakly water-flooded layers, moderately water-flooded layers, and severely water-flooded layers have a water content of less than or equal to 5%, 5% and 10%, 10% to 50%, and larger than 50% respectively.

参考文献

[1] 赵文杰. 水淹层岩石电阻率特性的实验研究[J]. 油气采收率技术, 1995, 2(4): 32-39.
ZHAO Wenjie. Experiment research on the rock resistivity properties of watered-out formation[J]. Oil and Gas Recovery Technology, 1995, 2(4): 32-39.
[2] 范宜仁, 邓少贵, 周灿灿. 柳东地区岩石电阻率实验及数值模拟研究[J]. 石油大学学报(自然科学版), 1998, 22(5): 42-44.
FAN Yiren, DENG Shaogui, ZHOU Cancan. Experimental study on rock resistivity of Liudong oilfield and digital analogy[J]. Journal of China University of Petroleum (Natural Science Edition), 1998, 22(5): 42-44.
[3] 田中元, 穆龙新, 孙德明, 等. 砂砾岩水淹层测井特点及机理研究[J]. 石油学报, 2002, 23(6): 50-55.
TIAN Zhongyuan, MU Longxin, SUN Deming, et al. Logging attributes and mechanism study of grit water-flooding reservoir[J]. Acta Petrolei Sinica, 2002, 23(6): 50-55.
[4] YU J, PAN B Z, YANG Q S. Characteristics of resistivity log response of oil layers under polymer flooding[J]. Applied Geophysics, 2012, 9(2): 187-194.
[5] LIU R, DUAN Y, TAN F, et al. Evaluation on an original resistivity inversion method of water flooding a conglomerate reservoir based on petrophysical analysis[J]. Journal of Geophysics and Engineering, 2015, 12(5): 780-792.
[6] YAN W, SUN J, ZHANG J, et al. A novel method for estimation of remaining oil saturations in water-flooded layers[J]. Interpretation, 2016, 5(1): 9-23.
[7] TAN F, LI H, XU C, et al. Quantitative evaluation methods for water-flooded layers of conglomerate reservoir based on well logging data[J]. Petroleum Science, 2010, 7(4): 485-493.
[8] MAMGHADERI A, POURAFSHARY P. Water flooding performance prediction in layered reservoirs using improved capacitance-resistive model[J]. Journal of Petroleum Science and Engineering, 2013, 108: 107-117.
[9] MABROUK W M, SOLIMAN K S. A numerical technique for an accurate determination of formation resistivity factor using FR-RO overlays method[J]. Arabian Journal of Geosciences, 2015, 8(3): 1291-1297.
[10] HUIYUAN B, WANG F, CHENGEN Z, et al. A new model between dynamic and static elastic parameters of shale based on experimental studies[J]. Arabian Journal of Geosciences, 2019, 12(20): 609.
[11] 赵伦, 王进财, 陈礼, 等. 三角洲砂体构型对水驱波及特征的影响: 以南图尔盖盆地Kumkol South油田J-Ⅱ层为例[J]. 石油勘探与开发, 2017, 44(3): 407-414.
ZHAO Lun, WANG Jincai, CHEN Li, et al. Influences of delta sandstone architecture on waterflooding sweep characteristics: A case study of layer J-Ⅱ of Kumkol South oilfield in South Turgay Basin, Kazakstan[J]. Petroleum Exploration and Development, 2017, 44(3): 407-414.
[12] ELWEGAA K, EMADI H, SOLIMAN M, et al. Improving oil recovery from shale oil reservoirs using cyclic cold carbon dioxide injection: An experimental study[J]. Fuel, 2019, 254(OCT.15): 115586.1-115586.9.
[13] 杨春梅, 周灿灿, 程相志. 低电阻率油层成因机理分析及有利区预测[J]. 石油勘探与开发, 2008, 35(5): 600-605.
YANG Chunmei, ZHOU Cancan, CHENG Xiangzhi. Origin of low resistivity pays and forecasting of favorable prospecting areas[J]. Petroleum Exploration and Development, 2008, 35(5): 600-605.
[14] 赵伦, 谭成仟, 李建新, 等. 基于储层分类的电阻率曲线重构法识别碳酸盐岩水淹层[J]. 石油与天然气地质, 2020, 41(4): 1-13.
ZHAO Lun, TAN Chengqian, LI Jianxin, et al. Recognition method of carbonate reservoir water-flooded zone using resistivity curve reconstruction based on reservoir classification[J]. Oil & Gas Geology, 2020, 41(4): 1-13.
[15] LI K, HORNE R N. A semianalytical method to calculate relative permeability from resistivity well logs[R]. SPE 95575-MS, 2005.
[16] LI K, HORNE R N. Comparison of methods to calculate relative permeability from capillary pressure in consolidated water‐wet porous media[J]. Water Resources Research, 2006, 42(6): 285-293.
[17] LI K, HORNE R N. Fractal modeling of capillary pressure curves for the Geysers rocks[J]. Geothermics, 2006, 35(2): 198-207.
[18] FOURAR M, LENORMAND R. A viscous coupling model for relative permeabilities in fractures[R]. SPE 49006-MS, 1998.
[19] 汪勇. 缝洞型碳酸盐岩油藏油-水、油-气两相流动规律研究[D]. 北京: 中国石油大学(北京), 2018.
WANG Yong. Study on two-phase flow of oil-water and oil-gas in fractured-vuggy carbonate reservoir[D]. Beijing: China University of Petroleum (Beijing), 2018.
[20] 国家能源局. 水淹层测井资料处理与解释规范: SY/T 6178-2017[S]. 北京: 石油工业出版社, 2017.
National Energy Administration. Specification for logging data processing and interpreting of water flooded zone: SY/T 6178-2017[S]. Beijing: Petroleum Industry Press, 2017.
文章导航

/