A New Method of Water Injection Control for Multilayered Sandstone Reservoirs: A Case of Hutubi Formation in Luliang Oilfield

doi:10.7657/XJPG20230411

Abstract

Abstract:

The reservoirs with bottom water in the Luliang oilfield are characterized by multiple thin and scattered oil layers, strong interlayer heterogeneity, extra-high watercut of oil wells, and low efficiency of layered water injection. The oilfield is facing challenges such as unclear distribution of remaining oil and difficult control of water injection. In response to the current water injection status of the multilayered sandstone reservoirs in the Luliang oilfield, a new method of water injection control was established based on the interwell numerical simulation model (INSIM) and by using geological congnition, logging data and testing data. The new method helps realize a rapid simulation evaluation and injection-production parameter optimization for layered water injection in well groups with different formation coefficient ranges. This method allows for the analysis of vertical and horizontal water injection in multilayered reservoirs, and also the dynamic simulation of natural production splitting. The application to a typical well group in the L9 reservoir of the Luliang oilfield demonstrates an estimated increase in the cumulative oil production by 3.2×10⁴ m³, a decrease in the cumulative injected water by 3.9×10⁴ m³, and a decline in the water cut in the well block by 6.1%. Thus, the efficiency of layered water injection is improved, and the effects of production increasing and water reduction are enhanced. The method may serve as a reference for layered water injection control and potential tapping in multilayered sandstone reservoirs.

Key words: Luliang oilfield, multilayered reservoir, water injection, injection-production optimization, connectivity analysis, INSIM, history matching, water injection efficiency

CLC Number:

TE341

DANG Sisi, SUN Zhixiong, PEI Shuai, WU Congwen, MOU Lei, ZHOU Yuhui. A New Method of Water Injection Control for Multilayered Sandstone Reservoirs: A Case of Hutubi Formation in Luliang Oilfield[J]. Xinjiang Petroleum Geology, 2023, 44(4): 465-471.

Figures/Tables 9

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References 25

[1]	任鹏, 王伟锋, 陈刚强. 陆梁油田陆9井区呼一段低含油饱和度油藏特点及成因[J]. 新疆石油地质, 2018, 39(3):304-310.
	REN Peng, WANG Weifeng, CHEN Gangqiang. Characteristics and genesis of low oil-saturation reservoir in the first member of Hutubihe formation in Wellblock Lu-9,Luliang oilfield[J]. Xinjiang Petroleum Geology, 2018, 39(3):304-310.
[2]	吴丛文, 马艳清, 范赛华, 等. 陆梁油田底水油藏高含水期提液方法研究[J]. 西南石油大学学报(自然科学版), 2022, 44(5):98-104. doi: 10.11885/j.issn.1674-5086.2020.09.08.01
	WU Congwen, MA Yanqing, FAN Saihua, et al. A study on liquid extraction method in high water cut stage of bottom water reservoir in Luliang oilfield[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2022, 44(5):98-104.
[3]	张会勇, 王延杰, 夏兰, 等. 陆梁油田呼图壁河组油藏开采技术界限[J]. 新疆石油地质, 2005, 26(1):90-92.
	ZHANG Huiyong, WANG Yanjie, XIA Lan, et al. The technical limits for recovery of Hutubihe reservoir in Luliang oilfield[J]. Xinjiang Petroleum Geology, 2005, 26(1):90-92.
[4]	王延杰, 张红梅, 江晓晖, 等. 多层系油田开发层系划分和井网井距研究:以陆梁油田陆9井区白垩系、侏罗系油藏为例[J]. 新疆石油地质, 2002, 23(1):40-43.
	WANG Yanjie, ZHANG Hongmei, JIANG Xiaohui, et al. The development sequence classification and well-patterns spacing study for multizone reservoir:An example from Cretaceous and Jurassic reservoirs in Lu 9 well block of Luliang oilfield[J]. Xinjiang Petroleum Geology, 2002, 23(1):40-43.
[5]	赵玲莉, 李远林, 马立华, 等. 陆梁油田分层注水过程中注入水对套管腐蚀因素研究[J]. 新疆石油天然气, 2006, 2(2):65-67.
	ZHAO Lingli, LI Yuanlin, MA Lihua, et al. Study on corrosion factor of separate zone waterflooding to the thimble pipe of Luliang oilfiled[J]. Xinjiang Oil & Gas, 2006, 2(2):65-67.
[6]	李伟, 王亚会, 陈肖, 等. 不同提液方式对强水驱海相砂岩油藏驱油效率影响的实验研究[J]. 地质科技通报, 2021, 40(5):301-306.
	LI Wei, WANG Yahui, CHEN Xiao, et al. Experimental study on the effect of different liquid extraction methods on the oil displacement efficiency of strong water flooding marine sandstone reservoirs[J]. Bulletin of Geological Science and Technology, 2021, 40(5):301-306.
[7]	曲永春. 基于多次注入剖面测井的储层状况评价技术及其应用[J]. 大庆石油地质与开发, 2016, 35(5):152-155.
	QU Yongchun. Reservoir evaluating technique based on the multiple injected profile logging and its application[J]. Petroleum Geology & Oilfield Development in Daqing, 2016, 35(5):152-155.
[8]	李宁, 杨林, 郑小敏, 等. 基于示踪剂监测和数值模拟的低渗透油藏注采连通性评价[J]. 新疆石油地质, 2021, 42(6):735-740.
	LI Ning, YANG Lin, ZHENG Xiaomin, et al. Evaluation on injection-production connectivity of low-permeability reservoirs based on tracer monitoring and numerical simulation[J]. Xinjiang Petroleum Geology, 2021, 42(6):735-740.
[9]	李才学, 沈曦, 贾卫平, 等. 高含水期油藏液流方向优化及流线模拟[J]. 断块油气田, 2015, 22(5):641-646.
	LI Caixue, SHEN Xi, JIA Weiping, et al. Fluid flow direction optimization and streamline simulation for high water reservoir[J]. Fault-Block Oil & Gas Field, 2015, 22(5):641-646.
[10]	ZHAO Hui, KANG Zhijiang, ZHANG Xiansong, et al. INSIM:A data-driven model for history matching and prediction for waterflooding monitoring and management with a field application[R]. SPE 173213-MS, 2015.
[11]	ZHAO Hui, XU Lingfei, GUO Zhenyu, et al. A new and fast waterflooding optimization workflow based on INSIM derived injection efficiency with a field application[J]. Journal of Petroleum Science and Engineering, 2019, 179:1 186-1 200. doi: 10.1016/j.petrol.2019.04.025
[12]	赵辉, 康志江, 张允, 等. 表征井间地层参数及油水动态的连通性计算方法[J]. 石油学报, 2014, 35(5):922-927. doi: 10.7623/syxb201405012
	ZHAO Hui, KANG Zhijiang, ZHANG Yun, et al. An interwell connectivity numerical method for geological parameter characterization and oil-water two-phase dynamic prediction[J]. Acta Petrolei Sinica, 2014, 35(5):922-927. doi: 10.7623/syxb201405012
[13]	雷昇, 周玉辉, 王宁, 等. 基于井间连通性的碳酸盐岩油藏注采关系优化[J]. 新疆石油地质, 2021, 42(5):584-591.
	LEI Sheng, ZHOU Yuhui, WANG Ning, et al. Injection-production optimization of carbonate oil reservoirs based on a well connectivity model[J]. Xinjiang Petroleum Geology, 2021, 42(5):584-591.
[14]	GUO Zhenyu, REYNOLDS A C, ZHAO Hui. A physics-based data-driven model for history matching,prediction and characterization of waterflooding performance[R]. SPE 182660-MS, 2017.
[15]	张建国, 杜殿发, 侯建, 等. 油气层渗流力学[M]. 山东东营: 中国石油大学出版社, 2010.
	ZHANG Jianguo, DU Dianfa, HOU Jian, et al. Seepage mechanics of oil and gas reservoirs[M]. Dongying,Shandong: China University of Petroleum Press, 2010.
[16]	谢书剑, 周玉辉, 丁艳雪, 等. 水驱油藏分层注水效率评价新方法[J]. 中国科技论文, 2021, 16(5):475-481.
	XIE Shujian, ZHOU Yuhui, DING Yanxue, et al. A new method to evaluate the injection efficiency of different layers in waterflooding reservoir[J]. China Sciencepaper, 2021, 16(5):475-481.
[17]	THIELE M R, BATYCKY R P. Water injection optimization using a streamline-based workflow[R]. SPE 84080, 2003.
[18]	KAVIANI D, JENSEN J L, LAKE L W. Estimation of interwell connectivity in the case of unmeasured fluctuating bottomhole pressures[J]. Journal of Petroleum Science and Engineering, 2012, 90:79-95.
[19]	WANG Dashun, NIU Di, LI Huazhou. Predicting waterflooding performance in low-permeability reservoirs with linear dynamical systems[J]. SPE Journal, 2017, 22(5):1 596-1 608. doi: 10.2118/185960-PA
[20]	SARAC S, MORTON K L, THEUVENY B. Integrated history matching on interference well test data in a naturally fractured reservoir with automated adjoint gradient based in version technique[R]. SPE 181498-MS, 2016.
[21]	WANG Chunhong, LI Gaoming, REYNOLDS A C. Production optimization in closed-loop reservoir management[J]. SPE Journal, 2007, 14(3):506-523. doi: 10.2118/109805-PA
[22]	CHEN Yan, OLIWER D S. Ensemble-based closed-loop optimization applied to Brugge field[J]. SPE Reservoir Evaluation & Engineering, 2010, 13(1):56-71.
[23]	SEFAT M H, MURADOV K M, ELSHEIKH A H, et al. Proactive optimizaton of intelligent-well production using stochastic gradient-based algorithms[J]. SPE Reservoir Evaluation & Engineering, 2016, 19(2):239-252.
[24]	赵辉, 唐乙玮, 康志江, 等. 油藏开发生产优化近似扰动梯度升级算法[J]. 中国石油大学学报(自然科学版), 2016, 40(2):99-104.
	ZHAO Hui, TANG Yiwei, KANG Zhijiang, et al. Reservoir production optimization using an upgraded perturbation gradient approximation algorithm[J]. Journal of China University of Petroleum(Edition of Natural Science), 2016, 40(2):99-104.
[25]	ZHOU Yuhui, LEI Sheng, DU Xuebiao, et al. Injection-production optimization of carbonate reservoir based on an inter-well connectivity model[J]. Energy Exploration & Exploitation, 2021, 39(5):1 666-1 684.