High-Resolution Numerical Simulation for Gas Injection Gravity Drainage in Buried-Hill Reservoirs

doi:10.7657/XJPG20200207

Abstract

Abstract:

The buried-hill reservoir in the Wumishan formation of Yanling oilfield is a massive carbonate reservoir with bottom water, in which field tests of nitrogen injection had been carried out in the past and a 44 m-high oil column was formed. At present, the reservoir has entered the late development stage of high water cut and high recovery factor, and the development mode needs to be changed. Based on the data of laboratory experiments, early nitrogen injection field tests and well logging interpretation, the paper optimizes the geological model and establishes a high-performance cloud computing platform for numerical simulation. The simulation model for dual porosity buried-hill reservoirs is optimized, a high-resolution numerical simulation is carried out based on the model with grid precision of 60 m×60 m×3 m and the total grid number of 97×10 ⁴, and a gas injection gravity drainage plan has been made for the buried-hill reservoir in Yanling oilfield. It is predicted in the plan that the recovery factor will be improved by 11.8%, the ultimate recovery factor will reach 43.4% and good results will be obtained, which can provide references for the development of similar reservoirs.

Key words: Yanling oilfield, Wumishan formation, carbonate rock, buried-hill reservoir, dual-porosity medium, gas drive efficiency, high-resolution numerical simulation, gravity drainage

CLC Number:

TE344

WANG Ruisi, ZENG Qingqiao, HUANG Pu, LIAN Liming, LI Junjie, CHENG Peng. High-Resolution Numerical Simulation for Gas Injection Gravity Drainage in Buried-Hill Reservoirs[J]. Xinjiang Petroleum Geology, 2020, 41(2): 180-187.

Figures/Tables 9

Fig. 1.

Table 1

Fig. 2.

Table 2

Fig. 3.

Fig. 4.

Fig. 5.

Table 3

Table 4

References 23

[1]	杜玉洪, 孟庆春, 王皆明 . 任11裂缝性底水油藏注气提高采收率研究[J]. 石油学报, 2005,26(2):80-84.
	DU Yuhong, MENG Qingchun, WANG Jieming . Study on enhanced oil recovery of Ren 11 fractured bottom water reservoir by gas injection[J]. Acta Petrolei Sinica, 2005,26(2):80-84.
[2]	王皆明, 王丽娟, 耿晶 . 含水层储气库建库注气驱动机理数值模拟研究[J]. 天然气地球科学, 2005,16(5):673-676.
	WANG Jieming, WANG Lijuan, GENG Jing . The numerical simulation study on the gas-drive mechanism of aquifer gas storages[J]. Natural Gas Geoscience, 2005,16(5):673-676.
[3]	孙晓旭, 杨胜来, 吴晓云 . 裂缝性底水潜山油藏注气数值模拟研究[J]. 复杂油气藏, 2012,5(1):63-66.
	SUN Xiaoxu, YANG Shenglai, WU Xiaoyun . Numerical simulation of buried-hill fractured reservoirs with bottom water[J]. Complex Hydrocarbon Reservoirs, 2012,5(1):63-66.
[4]	于金彪 . 油藏地质建模技巧及质量控制方法[J]. 新疆石油地质, 2017,38(2):188-192.
	YU Jinbiao . Reservoir geological modeling technique and quality control method[J]. Xinjiang Petroleum Geology, 2017,38(2):188-192.
[5]	张艳玉, 王康月, 李洪君 , 等. 气顶油藏顶部注氮气重力驱数值模拟研究[J]. 中国石油大学学报(自然科学版), 2006,30(4):58-62.
	ZHANG Yanyu, WANG Kangyue, LI Hongjun , et al. Study of numerical simulation for gravity drive of crestal nitrogen injection in gas-cap reservoir[J]. Journal of China University of Petroleum(Edition of Natural Science), 2006,30(4):58-62.
[6]	邓兴梁, 罗新生, 刘永福 , 等. 缝洞型碳酸盐岩定容油藏形成机理及开发技术[J]. 新疆石油地质, 2019,40(1):79-83.
	DENG Xingliang, LUO Xinsheng, LIU Yongfu , et al. Forming mechanism and development measures of constant-volume fractured-vuggy carbonate oil reservoirs[J]. Xinjiang Petroleum Geology, 2019,40(1):79-83.
[7]	李振华, 顾乔元, 张大鹏 , 等. 塔里木油田碳酸盐岩油藏产量预测方法[J]. 新疆石油地质, 2019,40(5):583-587.
	LI Zhenhua, GU Qiaoyuan, ZHANG Dapeng , et al. Production prediction methods for carbonate reservoirs in Tarim oilfield[J]. Xinjiang Petroleum Geology, 2019,40(5):583-587.
[8]	姜汉桥, 谷建伟, 陈民锋 , 等. 时变油藏地质模型下剩余油分布的数值模拟研究[J]. 石油勘探与开发, 2005,32(2):91-93.
	JIANG Hanqiao, GU Jianwei, CHEN Minfeng , et al. Reservoir simulation of remaining oil distribution based on time-variant reservoir model[J]. Petroleum Exploration and Development, 2005,32(2):91-93.
[9]	江晓晖, 钱根宝, 戴红梅 , 等. 并行数值模拟技术在油藏开发中的应用:以沙南油田梧桐沟组油藏为例[J]. 新疆石油地质, 2001,22(1):61-62.
	JIANG Xiaohui, QIAN Genbao, DAI Hongmei , et al. Application of parallel numerical analog technique on reservoir development:an example from Wutonggou formation of Sha’nan oilfield[J]. Xinjiang Petroleum Geology, 2001,22(1):61-62.
[10]	姚军, 王子胜, 张允 , 等. 天然裂缝性油藏的离散裂缝网格数值模拟方法[J]. 石油学报, 2010,31(2):284-288.
	YAO Jun, WANG Zisheng, ZHANG Yun , et al. Numerical simulation method of discrete fracture network for naturally fractured reservoirs[J]. Acta Petrolei Sinica, 2010,31(2):284-288.
[11]	王宝华, 吴淑红, 韩大匡 , 等. 大规模油藏数值模拟的块压缩存储及求解[J]. 石油勘探与开发, 2013,40(4):462-467.
	WANG Baohua, WU Shuhong, HAN Dakuang , et al. Block compressed storage and computation in large-scale reservoir simulation[J]. Petroleum Exploration and Development, 2013,40(4):462-467.
[12]	邓宝荣, 袁士义, 李建芳 , 等. 计算机辅助自动历史拟合在油藏数值模拟中的应用[J]. 石油勘探与开发, 2003,30(1):71-74.
	DENG Baorong, YUAN Shiyi, LI Jianfang , et al. Applying computer-aided history matching to the numerical simulation of reservoir[J]. Petroleum Exploration and Development, 2003,30(1):71-74.
[13]	徐文, 高爽惠 . 数值模拟中网格方向的确定[J]. 石油勘探与开发, 1998,25(1):58-60.
	XU Wen, GAO Shuanghui . Grid direction determination in numerical simulation[J]. Petroleum Exploration and Development, 1998,25(1):58-60.
[14]	朱焱, 谢进庄, 杨为华 , 等. 提高油藏数值模拟历史拟合精度的方法[J]. 石油勘探与开发, 2008,35(2):225-229.
	ZHU Yan, XIE Jinzhuang, YANG Weihua , et al. Method for improving history matching precision of reservoir numerical simulation[J]. Petroleum Exploration and Development, 2008,35(2):225-229.
[15]	康志江 . 缝洞型碳酸盐岩油藏耦合数值模拟新方法[J]. 新疆石油地质, 2010,31(5):514-516.
	KANG Zhijiang . New method of coupling numerical simulation and application to fracture-cavern carbonate reservoir[J]. Xinjiang Petroleum Geology, 2010,31(5):514-516.
[16]	李阳, 侯加根, 李永强 . 碳酸盐岩缝洞型储集体特征及分类分级地质建模[J]. 石油勘探与开发, 2016,43(4):600-606.
	LI Yang, HOU Jiagen, LI Yongqiang . Features and hierarchical modeling of carbonate fracture-cavity reservoirs[J]. Petroleum Exploration and Development, 2016,43(4):600-606.
[17]	顾蒙, 郭平, 田东红 , 等. 水驱油物理模拟相似准则研究[J]. 特种油气藏, 2016,23(1):123-126.
	GU Meng, GUO Ping, TIAN Donghong , et al. Study on similarity criteria of physical modeling for displacement of oil by water[J]. Special Oil & Gas Reservoirs, 2016,23(1):123-126.
[18]	郭平, 袁恒璐, 李新华 , 等. 碳酸盐岩缝洞型油藏气驱机制微观可视化模型试验[J]. 中国石油大学学报( 自然科学版), 2012,36(1):89-93.
	GUO Ping, YUAN Henglu, LI Xinhua , et al. Experiments on gas injection mechanisms in carbonate fracture-cavity reservoir using microvisual model[J]. Journal of China University of Petroleum(Edition of Natural Scince), 2012,36(1):89-93.
[19]	贾虎, 赵金洲, 杨怀军 , 等. 轻质油藏空气驱机理数值模拟[J]. 石油勘探与开发, 2014,41(2):215-222.
	JIA Hu, ZHAO Jinzhou, YANG Huaijun , et al. Numerical simulation of mechanism of high-pressure air injection (HPAI) in light oil reservoirs[J]. Petroleum Exploration and Development, 2014,41(2):215-222.
[20]	赫恩杰, 许爱云, 陆蕙芸 . 任丘雾迷山组油藏目前开采方式调整的数值模拟研究[J]. 石油勘探与开发, 1998,25(6):47-50.
	HAO Enjie, XU Aiyun, LU Huiyun . Numerical simulation study of development adjustment for Wumishan reservoir,Renqiu oil field by pressure drop[J]. Petroleum Exploration and Development, 1998,25(6):47-50.
[21]	李星民, 马新仿, 郎兆新 . 裂缝性油田合理开发井网的数值模拟研究[J]. 新疆石油地质, 2002,23(2):148-149.
	LI Xingmin, MA Xinfang, LANG Zhaoxin . Study of numerical simulation of rational well patterns for development of fractured oilfield[J]. Xinjiang Petroleum Geology, 2002,23(2):148-149.
[22]	梁淑贤, 周炜, 张建东 . 顶部注气稳定重力驱技术有效应用探讨[J]. 西南石油大学学报(自然科学版), 2014,36(4):86-92.
	LIANG Shuxian, ZHOU Wei, ZHANG Jiandong . Investigation on effect application of the technology of crestal gas injection for stable gravity flooding[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2014,36(4):86-92.
[23]	刘辉, 董俊昌, 刘扬 , 等. 孔隙型碳酸盐岩储层注气注水提高采收率试验[J]. 中国石油大学学报( 自然科学版), 2013,37(1):104-108.
	LIU Hui, DONG Junchang, LIU Yang , et al. Experiments on gas and water injection for enhanced oil recovery in porous carbonate reservoir[J]. Journal of China University of Petroleum(Edition of Natural Scince), 2013,37(1):104-108.

实验阶段	样品编号	状态	最大驱替压力/MPa	单层驱油效率/%	总采收率/ %	结束时含水率/%
第一阶段	1	开	0.009 5	68.04	17.63	99.5
	2	开		5.03
	3	开		0
第二阶段	1	关			41.42
	2	开	0.410 0	41.37	41.42	99.5
	3	开	0.410 0	18.12
第三阶段	1	关			54.76
	2	关
	3	开	13.600 0	71.46		99.5