多因素影响的泡沫驱数值模拟方法

doi:10.7623/syxb201405011

石油学报 ›› 2014, Vol. 35 ›› Issue (5): 914-921.DOI: 10.7623/syxb201405011

多因素影响的泡沫驱数值模拟方法

王敬^1,2, 刘慧卿¹, 张红玲¹, 姬泽敏³, 徐杰⁴

1. 中国石油大学石油工程教育部重点实验室北京 102249;
2. Department of Petroleum & Geosystems Engineering, University of Texas at Austin Texas Austin USA 78712;
3. 中国石油勘探开发研究院提高石油采收率国家重点实验室北京 100083;
4. 中国石油化工股份有限公司胜利油田分公司鲁明公司山东东营 257000

收稿日期:2014-02-02 修回日期:2014-03-14 出版日期:2014-09-25 发布日期:2014-08-05
通讯作者: 刘慧卿，男，1966年7月生，1987年毕业于华东石油学院油藏工程专业，1997年获石油大学（北京）博士学位，现为中国石油大学（北京）教授、博士生导师，主要从事油气田开发理论与系统工程、提高采收率方法研究与教学工作。Email：liuhq@cup.edu.cn
作者简介:王敬，男，1985年10月生，2008年毕业于中国石油大学（华东）石油工程专业，2013年获中国石油大学（北京）油气田开发工程专业博士学位，现为中国石油大学（北京）讲师、UniversityofTexasatAustin博士后，主要从事提高采收率和油藏数值模拟研究。Email：wangjing8510@163.com
基金资助:
国家重点基础研究发展计划（973）项目（2011CB201006）和国家重大科技专项（2011ZX05014-003-008HZ）资助。

Numerical simulation of foam flooding influences of multi-factors

Wang Jing^1,2, Liu Huiqing¹, Zhang Hongling¹, Ji Zemin³, Xu Jie⁴

1. Key Laboratory of Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China;
2. Department of Petroleum & Geosystems Engineering, University of Texas at Austin, Texas Austin 78712, USA;
3. State Key Laboratory of Enhanced Oil Recovery, PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China;
4. Luming Company, Sinopec Shengli Oilfield Company, Shandong Dongying 257000, China

Received:2014-02-02 Revised:2014-03-14 Online:2014-09-25 Published:2014-08-05

摘要/Abstract

摘要：

基于泡沫封堵规律实验结果和质量守恒定律，建立了综合考虑多孔介质渗透率、发泡剂质量浓度、泡沫干度、油藏温度、含油饱和度、含水饱和度以及渗流速度等多因素影响的泡沫驱数学模型。采用IMPES和Runge-Kutta方法对模型进行了求解和验证。利用数值模拟方法研究了泡沫封堵特性和泡沫驱开发效果影响因素的敏感性。研究结果表明：随着转驱时机的推迟，最终采收率先小幅升高后迅速降低；随着泡沫干度增加，最终采收率先增加后降低，泡沫干度为50%~67%时的驱替效果最佳；随着发泡剂质量浓度增加，最终采收率先迅速增加后趋于稳定；随着注入速度增加，最终采收率先增加后降低；各因素对泡沫驱最终采收率影响程度大小为：发泡剂质量浓度>注入速度>泡沫干度≈转驱时机。由于该数学模型考虑了众多与实体油藏相关的参数，所以该模拟方法可以更容易、有效地应用于指导泡沫驱矿场试验方案的制定。

关键词: 泡沫驱, 数学模型, 数值模拟, 提高采收率, 多因素

Abstract:

Based on the experimental results of foam blocking rules and mass conservation law, a mathematical model of foam flooding is established by considering the influences of multi-factors including permeability, foaming agent concentration, foam quality, reservoir temperature, oil saturation, water saturation, and flow velocity in porous media. The model is then solved and validated with a reservoir simulator which is formulated using a combination of the implicit pressure explicit saturation method and a Runge-Kutta method. The simulator is further used to examine the blocking characteristics of foam and the sensitivity of factors influencing oil recovery of foam flooding. Results show that: (1)As the starting time of foam flooding is postponed, the ultimate recovery first increases slightly and then decreases sharply. (2)With increasing foam quality, the ultimate recovery also shows increases followed by decreases, with an optimal value of 50 % -67 % for foam flooding. (3)With increasing foaming agent concentration, the ultimate recovery increases rapidly to reach a plateau. (4)With increasing injection rate, the ultimate recovery first increases and then decreases. (5)The multi-factors affect the ultimate recovery of foam flooding to different extents in descendent order of foaming agent concentration, injection rate, foam quality and starting time of foam flooding. Since the mathematical model incorporates multiple oilfield-associated parameters, it can guide the design of foam flooding programs in field tests more easily and effectively.

Key words: foam flooding, mathematical model, numerical simulation, enhanced oil recovery, multi-factors

中图分类号:

TE357.4

王敬, 刘慧卿, 张红玲, 姬泽敏, 徐杰. 多因素影响的泡沫驱数值模拟方法[J]. 石油学报, 2014, 35(5): 914-921.

Wang Jing, Liu Huiqing, Zhang Hongling, Ji Zemin, Xu Jie. Numerical simulation of foam flooding influences of multi-factors[J]. ACTA PETROLEI SINICA, 2014, 35(5): 914-921.

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多因素影响的泡沫驱数值模拟方法

Numerical simulation of foam flooding influences of multi-factors

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