基于多因素分析提高采收率驱替方式优选方法的研究

doi:10.13809/j.cnki.cn32-1825/te.2022.05.012

Abstract

Abstract:

In order to ensure that the best oil recovery and displacement method of the new target block of the oilfield could be selected in the process of tertiary oil recovery, based on the application of tertiary oil displacement method in typical blocks at home and abroad, 23 reservoir parameters have been studied as the key parameters that affect the displacement mode, and the fuzzy evaluation method are used in the process. And then, the correlation between the target area and the test area is calculated by the improved Deng’s correlation method, so as to predict the recovery ratio of the target area. The study of a new block of some oilfield in China verify that the best displacement mode is fire flooding. The proposed proposed method provides a calculation basis for the optimal displacement method of the new block.

Key words: tertiary oil recovery, displacement method, optimization method, rapid analogy, multifactor

CLC Number:

TE327

Tingting WANG,Guibin WU,Jianling CHEN, et al. Optimization of enhanced oil recovery displacement methods based on multifactor analysis[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(5): 803-808.

Figures/Tables 6

Table 1

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References 21

[1]	JÜRGENSON G A, BITTNER C, STEIN S, et al. Chemical EOR: A multidisciplinary effort to maximize value[J]. Journal of Petroleum Technology, 2017, 69(6): 52-53.
[2]	WANG T T, ZHANG T, RANJITH P G, et al. A new approach to the evaluation of rock mass rupture and brittleness under triaxial stress condition[J]. Journal of Petroleum Science and Engineering, 2020, 184.
[3]	ZIJLSTRA E, VAN WUNNIK J, VAN DOREN J, et al. Accurate tool for IOR/EOR screening and estimating target recovery factors[C]// Paper SPE-169653-MS prepared at the SPE EOR Conference at Oil and Gas West Asia held in Muscat, Oman, 31 March-2 April 2014.
[4]	秦积舜, 韩海水, 刘晓蕾. 美国CO₂驱油技术应用及启示[J]. 石油勘探与开发, 2015, 42(2):209-216.
	QIN Jishun, HAN Haishui, LIU Xiaolei. Application and enlightenment of carbon dioxide flooding in the United States of America[J]. Petroleum Exploration and Development, 2015, 42(2): 209-216.
[5]	赵文山. 三次采油阶段提高采收率的措施[J]. 化工设计通讯, 2017, 43(5):50.
	ZHAO Wenshan. Measures to improve oil recovery in tertiary oil recovery[J]. Chemical Design Newsletter, 2017, 43(5): 50.
[6]	朱友益, 侯庆锋, 简国庆, 等. 化学复合驱技术研究与应用现状及发展趋势[J]. 石油勘探与开发, 2013, 40(1):90-96.
	ZHU Youyi, HOU Qingfeng, JIAN Guoqing, et al. Current development and application of chemical combination flooding technique[J]. Petroleum exploration and development, 2013, 40(1): 90-96.
[7]	刘培军, 陈金辉, 申权, 等. 三次采油方法及原理综述[J]. 化工管理, 2013, 26(8):16.
	LIU Peijun, CHEN Jinhui, SHEN Quan, et al. Summary of tertiary oil recovery methods and principles[J]. Chemical Management, 2013, 26(8): 16.
[8]	田静. 三次采油技术的现状及发展趋势[J]. 科学中国人, 2015, 21(29):45.
	TIAN Jing. The status of enhanced oil recovery research and Development trend[J]. Scientific Chinese, 2015, 21(29): 45.
[9]	刘哲. 浅析三次采油技术的现状及发展趋势[J]. 化学工程与装备, 2016, 45(4):213-214.
	LIU Zhe. Analysis on the current situation and development trend of tertiary oil recovery technology[J]. Chemical Engineering & Equipment. 2016, 45(4): 213-214.
[10]	KOROTEEV D, DINARIEV O, EVSEEV N, et al. Application of digital rock technology for chemical EOR screening[C]// Paper SPE-165258-MS presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, Malaysia, July 2013.
[11]	张金川, 刘树根, 魏晓亮, 等. 页岩含气量评价方法[J]. 石油与天然气地质, 2021, 42(1):28-40.
	ZHANG Jinchuan, LIU Shugen, WEI Xiaoliang, et al. Evaluation of gas content in shale[J]. Oil & Gas Geology, 2021, 42(1): 28-40.
[12]	雷柏茂, 李江燕, 梁佩博, 等. 基于模糊综合评判和层次分析法的中子管故障风险评估[J]. 原子能科学技术, 2019, 53(11):2247-2256.
	LEI Bomao, LI Jiangyan, LIANG Peibo, et al. Risk assessment of neutron tube failure based on fuzzy comprehensive evaluation and analytic hierarchy process[J]. Atomic Energy Science and Technology, 2019, 53(11): 2247-2256.
[13]	张云鹏, 马雪坤, 王浩. 基于模糊综合评判的凤良铁矿地质环境影响评价研究[J]. 化工矿物与加工, 2018, 47(4):4.
	ZHANG Yunpeng, MA Xuekun, WANG Hao. Assessment of impact of geological environment in Fengliang Iron Mine based on fuzzy comprehensive evaluation method[J]. Industrial Minerals & Processing, 2018, 47(4): 4.
[14]	马婧. 基于模糊综合评判法的油田水驱开发效果评价[J]. 辽宁化工, 2016, 45(6):785-787.
	MA Jing. Evaluation of oilfield water flooding development effect based on the fuzzy comprehensive evaluation method[J]. Liaoning Chemical Industry, 2016, 45(6): 785-787.
[15]	ZERAFAT M, AYATOLLAHI SH, MEHRANBOD N. Bayesian network analysis as a tool for efficient EOR screening[C]// Paper SPE-143282-MS presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, Malaysia, July 2011.
[16]	WEI Y, GAO YQ, ZENG K F. The limitation of Deng’s relevance degree and the evolution of relevance axiom[J]. Journal of applied functional analysis, 2015, 17(4): 391-399.
[17]	赵文山. 三次采油阶段提高采收率的措施[J]. 化工设计通讯, 2017, 43(5):50.
	ZHAO Wenshan. Measures to improve oil recovery in three-stage oil recovery[J]. Chemical Engineering Design Communications, 2017, 43(5): 50.
[18]	高双华, 姚国平, 蔡晓梅, 等. 二次聚合物驱提高采收率技术[J]. 新疆石油天然气, 2015, 11(1):51-54.
	GAO Shuanghua, YAO Guoping, CAI Xiaomei, et al. The improve oil recovery technology of second polymer flooding[J]. Xinjiang Oil & Gas, 2015, 11(1): 51-54.
[19]	朱友益, 侯庆锋, 简国庆, 等. 化学复合驱技术研究与应用现状及发展趋势[J]. 石油勘探与开发, 2013, 40(1):90-96.
	ZHU Youyi, HOU Qingfeng, JIAN Guoqing, et al. Current development and application of chemical combination flooding technique[J]. Petroleum Exploration and Development, 2013, 40(1): 90-96.
[20]	胡蓉蓉, 姚军, 王晨晨, 等. 缝洞型碳酸盐岩油藏非混相气驱采收率影响因素[J]. 新疆石油地质, 2015, 36(4):470-474.
	HU Rongrong, YAO Jun, WANG Chenchen, et al. Influence factors of immiscible gas flooding recovery in fractured-vuggy carbonate reservoirs[J]. Xinjiang Petroleum Geology, 2015, 36(4): 470-474.
[21]	康志江, 李阳, 计秉玉, 等. 碳酸盐岩缝洞型油藏提高采收率关键技术[J]. 石油与天然气地质, 2020, 4(6):434-441.
	KANG Zhijiang, LI Yang, JI Bingyu, et al. Key technologies for EOR in fractured-vuggy carbonate reservoirs[J]. Oil & Gas Geology, 2020, 41(6): 434-441.

参数名称	取值范围	参数类别
油藏类型		地质参数
岩石特征		地质参数
油藏埋深（m）	0~10 000	地质参数
油层压力（MPa）		地质参数
油层温度（℃）	0~200	地质参数
平均单层有效厚度（m）	0~250	地质参数
净毛比	0~1	地质参数
孔隙度（%）	0~100	地质参数
空气渗透率（10^-3 μm²）	0~30 000	地质参数
含油饱和度（%）	0~100	地质参数
渗透率变异系数	0~1	地质参数
底水影响		地质参数
边水影响		地质参数
裂缝/溶洞		地质参数
地层倾角		地质参数
气源		地质参数
上下隔层及管窜封闭性		地质参数
地层倾角		地质参数
单储系数[10⁴ t/（km²·m）]	0~150	地质参数
地层原油黏度（mPa·s）	0~100 000	流体参数
原油密度（g/cm³）	0.5~1.0	流体参数
原油酸值（mg·KOH/g）	0~40	流体参数
地层水矿化度（mg/L）	500~300 000	流体参数
二价离子含量（mg/L）	0~5 000	流体参数

Optimization of enhanced oil recovery displacement methods based on multifactor analysis

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