Lithologic Reservoirs ›› 2023, Vol. 35 ›› Issue (1): 145-159.doi: 10.12108/yxyqc.20230113

• PETROLEUM ENGINEERING AND OIL & GAS FIELD DEVELOPMENT • Previous Articles    

Characterization model of oil-water relative permeability curves of sandstone reservoir and its application in numerical simulation

Lü Dongliang1, YANG Jian1, LIN Liming2, ZHANG Kaili1, CHEN Yanhu3   

  1. 1. Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China;
    2. Wuhua Energy Technology Co., Ltd., Xi'an 710000, China;
    3. Sinopec Shengli Oilfield Company, Dongying 257001, Shandong, China
  • Received:2022-06-13 Revised:2022-08-04 Published:2023-01-06

Abstract: Taking the sandstone reservoirs of Neogene Guantao Formation in Gudao oilfield of Shengli Oilfield as an example,based on oil-water relative permeability test and geological knowledge,the characterization model of oil-water relative permeability curves was established. The sandstone reservoir model was established by numerical simulation method,and the applicable conditions of model under different rhythms and different development methods and the influence on development results were discussed. The results show that: (1) The correlations of 7 parameters affecting relative permeability curves,such as permeability measured with gas and average pore-throat radius,with endpoints of relative permeability curves and the shape of curves were respectively fitted. Multiple regression method was carried out by using the alternate conditional expectation method,irreducible water saturation calculation model was established based on permeability measured with gas and average pore-throat radius,and residual oil saturation calculation model was established based on permeability variation coefficient and significant parameters. Based on permeability measured with gas,calculation model for relative permeability of oil phase under irreducible water was established. Based on coefficient of variation and significant parameters, calculation model for relative permeability of water phase under residual oil was also established. The absolute errors of the four endpoint characterization models are all less than 0.1. Referring to Honarpour empirical formula, relative permeability curve shape calculation model of oil phase was established based on uniformity coefficient, and relative permeability curve shape calculation model of water phase was established based on permeability variation coefficient and pore-throat ratio. The absolute errors of the two models are less than 1.7,which proves the reliability of models. (2) In the depletion development simulation of sandstone reservoirs,the production performance is mainly controlled by the relative permeability of oil phase. Normalizing curves derived from the model can eliminate the influence of reservoir heterogeneity to a certain extent. In simulated waterflood development,reservoir heterogeneity can exacerbate the impact of water phase relative permeability on production performance. In the simulation,the relative permeability curve of the reservoir that contributes the most to oil production can be closer to the actual production.

Key words: oil-water relative permeability curve, water saturation, multiple regression method, numerical simulation, alternate conditional expectation method, waterflood development, Guantao Formation, Gudao oilfield, Shengli Oilfield

CLC Number: 

  • TE341
[1] 徐春梅,张荣,马丽萍,等. 注水开发储层的动态变化特征及影响因素分析[J]. 岩性油气藏,2010,22 (增刊1): 89-92. XU Chunmei,ZHANG Rong,MA Liping,et al. Reservoir dynamic variation characteristics after water flooding and its influencing factors[J]. Lithologic Reservoirs,2010,22 (Suppl 1): 89-92.
[2] 周丛丛. 聚合物驱相对渗透率计算的微观模拟研究[J]. 岩性油气藏,2011,23 (3): 119-123. ZHOU Congcong. Microscopic simulation of relative permeability curves in polymer flooding[J]. Lithologic Reservoirs,2011, 23 (3): 119-123.
[3] 张人雄,李玉梅,李建民,等. 砂砾岩油藏油水相对渗透率曲线异常形态成因探讨[J]. 石油勘探与开发,1996,23 (2): 79-83. ZHANG Renxiong,LI Yumei,LI Jianmin,et al. An approach to the origin of anomalous shape of oil-water relative permeability curves in sandstone and conglomerate reservoirs[J]. Petroleum Exploration and Development,1996,23 (2): 79-83.
[4] 姜瑞忠,乔欣,滕文超,等. 储层物性时变对油藏水驱开发的影响[J]. 断块油气田,2016,23 (6): 768-771. JIANG Ruizhong,QIAO Xin,TENG Wenchao,et al. Impact of physical properties time variation on waterflooding reservoir development[J]. Fault-Block Oil & Gas Field,2016,23 (6): 768-771.
[5] 李传亮,朱苏阳. 关于油藏含水上升规律的若干问题[J]. 岩性油气藏,2016,28 (3): 1-5. LI Chuanliang,ZHU Suyang. Some topics about water cut rising rule in reservoirs[J]. Lithologic Reservoirs,2016,28 (3): 1-5.
[6] 薛建强,覃孝平,赖南君,等. 超低渗透油田降压增注体系的研究与应用[J]. 岩性油气藏,2013,25 (6): 107-111. XUE Jianqiang,QIN Xiaoping,LAI Nanjun,et al. Research and application of depressurization and stimulation of injection well for ultra-low permeability oilfield[J]. Lithologic Reservoirs,2013,25 (6): 107-111.
[7] 王曙光,赵国忠,余碧君. 大庆油田油水相对渗透率统计规律及其应用[J]. 石油学报,2005,26 (3): 78-81. WANG Shuguang,ZHAO Guozhong,YU Bijun. Statistical regularity of oil-water relative permeability in Daqing oilfield[J]. Acta Petrolei Sinica,2005,26 (3): 78-81.
[8] ROGHANIAN R,REZA R M,HAGHIGHI M. Prediction of key points of water-oil relative permeability curves using the linear regression technique[J]. Petroleum Science and Technology,2012,30 (5): 518-533.
[9] 王东琪,殷代印. 水驱油藏相对渗透率曲线经验公式研究[J]. 岩性油气藏,2017,29 (3): 159-164. WANG Dongqi,YIN Daiyin. Empirical formulas of relative permeability curve of water drive reservoirs[J]. Lithologic Reservoirs,2017,29 (3): 159-164.
[10] 王守磊,李治平,耿站立,等. 油水相对渗透率曲线预测模型建立及应用[J]. 科学技术与工程,2018,18 (12): 52-59. WANG Shoulei,LI Zhiping,GENG Zhanli,et al. The establishment and application of prediction model for oil-water relative permeability curve[J]. Science Technology and Engineering, 2018,18 (12): 52-59.
[11] AL-OTAIBI S S,AL-MAJED A A. Factors affecting pseudo relative permeability curves[J]. Journal of Petroleum Science and Engineering,1998,21 (3): 249-261.
[12] ABOUJAFAR S M. Effect of oil viscosity and brine salinity/viscosity on water/oil relative permeability and residual saturations[R]. Abu Dhabi: SPWLA 55th Annual Logging Symposium,2017.
[13] 孙艳宇. 低渗透油藏油水相渗曲线影响因素分析[J]. 辽宁化工,2017,46 (1): 53-55. SUN Yanyu. Analysis on influence factors of oil-water relative permeability curve in low permeability reservoirs[J]. Liaoning Chemical Industry,2017,46 (1): 53-55.
[14] 董大鹏. 非稳态相渗实验数据的处理方法[J]. 西南石油大学学报 (自然科学版),2014,36 (6): 110-116. DONG Dapeng. Processing method to the data of relative permeability in unsteady state displacement[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2014,36 (6): 110-116.
[15] 汤述安,郑泽忠,朱学波. 多元回归分析在油气产能预测中的应用[J]. 科技创新导报,2008 (21): 169-171. TANG Shu'an,ZHENG Zezhong,ZHU Xuebo. Application of multiple regression analysis in oil and gas capacity forecasting[J]. Science and Technology Innovation Herald,2008 (21): 169-171.
[16] 邵长金,李相方. 用交替条件期望变换确定岩石物性参数[J]. 天然气工业,2005,25 (7): 30-31. SHAO Changjin,LI Xiangfang. Determining petrophysical parameters by alternating conditional expectation transform[J]. Natural Gas Industry,2005,25 (7): 30-31.
[17] BREIMAN L,FRIEDMAN J H. Estimating optimal transformations for multiple regression and correlation[J]. Journal of the American Statistical Association,1985,80 (391): 580-598.
[18] 李宁,孙雷,潘毅,等. 油水相渗曲线归一化新方法研究[J]. 复杂油气藏,2015,8 (1): 38-40. LI Ning,SUN Lei,PAN Yi,et al. A new method for normalizing oil-water relative permeability curves[J]. Complex Hydrocarbon Reservoirs,2015,8 (1): 38-40.
[19] 潘婷婷,张枫,邢昆明,等. 不同储层相对渗透率曲线归一化方法评价[J]. 大庆石油地质与开发,2016,35 (3): 78-82. PAN Tingting,ZHANG Feng,XING Kunming,et al. Evaluation of the relative-permeability-curve normalizing method for the different reservoirs[J]. Petroleum Geology & Oilfield Development in Daqing,2016,35 (3): 78-82.
[20] 刘丹,潘保芝,陈刚,等. 致密砂岩气水相渗曲线的统一描述方法[J]. 地球物理学进展,2015,30 (1): 300-303. LIU Dan,PAN Baozhi,CHEN Gang,et al. Unified description on compact sandstone gas-water relative permeability curve[J]. Progress in Geophysics,2015,30 (1): 300-303.
[1] LIU Yangping, WU Boran, YU Zhongliang, YU Chenglin, WANG Lixin, YIN Yanshu. Reconstruction of 3D geological model of braided river sandstone reservoirs: A case study of Neogene Guantao Formation in Gaoshangpu block,Jidong Oilfield [J]. Lithologic Reservoirs, 2022, 34(4): 159-170.
[2] LI Xiaohui, DU Xiaofeng, GUAN Dayong, WANG Zhiping, WANG Qiming. Sedimentary characteristics of braided-meandering transitional river of Neogene Guantao Formation in northeastern Liaodong Bay Depression [J]. Lithologic Reservoirs, 2022, 34(3): 93-103.
[3] ZHANG Wei, LI Lei, QIU Xinwei, GONG Guangchuan, CHENG Linyan, GAO Yifan, YANG Zhipeng, YANG Lei. A/S control on spatiotemporal evolution of deltas in rifted lacustrine basin and its numerical simulation: A case study of Paleogene Wenchang Formation in Lufeng 22 subsag,Pearl River Mouth Basin [J]. Lithologic Reservoirs, 2022, 34(3): 131-141.
[4] DONG Min, GUO Wei, ZHANG Linyan, WU Zhonghai, MA Licheng, DONG Hui, FENG Xingqiang, YANG Yuehui. Characteristics of paleotectonic stress field and fractures of WufengLongmaxi Formation in Luzhou area, southern Sichuan Basin [J]. Lithologic Reservoirs, 2022, 34(1): 43-51.
[5] ZHANG Haoyu, LI Mao, KANG Yongmei, WU Zemin, WANG Guang. Reservoir architecture and fine characterization of remaining oil of Chang 3 reservoir in Zhenbei oilfield,Ordos Basin [J]. Lithologic Reservoirs, 2021, 33(6): 177-188.
[6] ZHAO Jun, HAN Dong, HE Shenglin, TANG Di, ZHANG Tao. Identification of fluid properties of low contrast reservoir based on water-gas ratio calculation [J]. Lithologic Reservoirs, 2021, 33(4): 128-136.
[7] ZHU Suyang, LI Dongmei, LI Chuanliang, LI Huihui, LIU Xiongzhi. Re-discussion on principle of constant porosity during primary deformation of rock [J]. Lithologic Reservoirs, 2021, 33(2): 180-188.
[8] LIU Mingming, WANG Quan, MA Shou, TIAN Zhongzheng, CONG Yan. Well placement optimization of coalbed methane based on hybrid particle swarm optimization algorithm [J]. Lithologic Reservoirs, 2020, 32(6): 164-171.
[9] WANG Hang, YANG Haifeng, HUANG Zhen, BAI Bing, GAO Yanfei. A new model for sedimentary evolution of fluvial faices based on accommodation space change and its impact on hydrocarbon accumulation: a case study of Kenli-A structure in Laizhouwan Depression [J]. Lithologic Reservoirs, 2020, 32(5): 73-83.
[10] LI Zihan, HE Yufa, ZHANG Binhai, ZHONG Haiquan. Solution and realization of coupled model of temperature and pressure field in deep water gas well testing [J]. Lithologic Reservoirs, 2020, 32(4): 163-171.
[11] GUAN Hua, GUO Ping, ZHAO Chunlan, TAN Baoguo, XU Dongmei. Mechanism of nitrogen flooding in Yong 66 block of Yong'an Oilfield,Bohai Bay Basin [J]. Lithologic Reservoirs, 2020, 32(2): 149-160.
[12] LUO Zhifeng, HUANG Jingyun, HE Tianshu, HAN Mingzhe, ZHANG Jintao. Extending regularity of fracture height by acid fracturing in carbonate reservoir: a case study of Qixia Formation in western Sichuan [J]. Lithologic Reservoirs, 2020, 32(2): 169-176.
[13] ZHOU Rui, SU Yuliang, MA Bing, ZHANG Qi, WANG Wendong. CO2 huff and puff simulation in horizontal well with random fractal volume fracturing [J]. Lithologic Reservoirs, 2020, 32(1): 161-168.
[14] LONG Ming, LIU Yingxian, CHEN Xiaoqi, WANG Meinan, YU Dengfei. Optimization adjustment of injection-production structure based on meandering river reservoir architecture [J]. Lithologic Reservoirs, 2019, 31(6): 145-154.
[15] BIAN Xiaobing, HOU Lei, JIANG Tingxue, GAO Dongwei, ZHANG Chi. Influencing factors of fracture geometry in deep shale gas wells [J]. Lithologic Reservoirs, 2019, 31(6): 161-168.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!
TRENDMD: