压裂支撑剂在水平井井筒射孔簇间分布实验

赵佳乐; 李亭; 王刚; 杨琦; 何美琪; 吴清苗; 李少明

doi:10.3969/j.issn.1006-6535.2023.04.021

特种油气藏 >

2023 , Vol. 30 >Issue 4: 169 - 174

DOI: https://doi.org/10.3969/j.issn.1006-6535.2023.04.021

钻采工程

压裂支撑剂在水平井井筒射孔簇间分布实验

赵佳乐 ,
李亭 ,
王刚 ,
杨琦 ,
何美琪 ,
吴清苗 ,
李少明

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1.长江大学,湖北武汉 430100;
2.长江大学油气钻采工程湖北省重点实验室,湖北武汉 430100;
3.中国石油新疆油田分公司,新疆克拉玛依 834000;
4.中联煤层气有限责任公司,北京 100016;
5.“三气共采”省级技术创新中心,山西太原 030032;
6.中国石化江汉油田分公司,湖北潜江 433124

赵佳乐(1999—),男,2022年毕业于潍坊科技学院电气工程及其自动化专业,现为长江大学油气田开发工程专业在读硕士研究生,主要从事油气储层增产改造技术方面研究工作。

收稿日期: 2022-11-21

修回日期: 2023-04-25

网络出版日期: 2023-09-18

基金资助

油气资源与探测国家重点实验室开放课题“致密砂岩气藏水平井筒耦合渗流机理研究”(PRP/open-1901)

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Experimental on Distribution of Fracturing Proppant between Perforating Clusters in Horizontal Wellbore

Zhao Jiale ,
Li Ting ,
Wang Gang ,
Yang Qi ,
He Meiqi ,
Wu Qingmiao ,
Li Shaoming

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1. Yangtze University, Wuhan, Hubei 430100, China;
2. Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering, Yangtze University, Wuhan, Hubei 430100, China;
3. PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834000, China;
4. China United Coalbed Methane Co., Ltd., Beijing 100016, China;
5. Provincial Center of Technology Innovation for Coal measure gas co-production,Taiyuan,Shanxi 030032,China;
6. Sinopec Jianghan Oilfield Company, Qianjiang, Hubei 433124, China

Received date: 2022-11-21

Revised date: 2023-04-25

Online published: 2023-09-18

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摘要

为研究支撑剂在射孔簇中的分布,分析支撑剂沿水平井筒沉降的原理,建立了室内实验模拟装置,通过改变支撑剂泵注排量、粒径、砂比等参数,分析上述因素对支撑剂在射孔簇中分布的影响。研究结果表明:在低泵注排量下,随着砂比的增大,20/40目石英砂主要分布由第2、3个射孔簇变为第1、2个射孔簇,40/70目石英砂主要集中在第1个射孔簇中;高泵注排量下,20/40目石英砂分布与低泵注排量类似,40/70目石英砂受高速流体影响,以远超临界沉积速度的形式运移,大量沉积在第3个射孔簇;相同砂比情况下,流体对小粒径石英砂的冲击作用较弱,支撑剂易沉积在近处,而对大粒径石英砂的冲击作用较强,更易沉积在远处;随着砂比的增大,支撑剂在第1个射孔簇中的质量占比逐渐增大,在第3个射孔簇中的质量占比显著减小。该研究可为水平井分段压裂射孔簇优化和提高改造效果提供有力支撑。

关键词： 压裂; 页岩气; 水平井; 射孔簇; 支撑剂; 泵注排量; 砂比

本文引用格式

赵佳乐 , 李亭 , 王刚 , 杨琦 , 何美琪 , 吴清苗 , 李少明 . 压裂支撑剂在水平井井筒射孔簇间分布实验[J]. 特种油气藏, 2023 , 30(4) : 169 -174 . DOI: 10.3969/j.issn.1006-6535.2023.04.021

Abstract

In order to study the distribution of proppant in the perforation cluster and analyze the principle of proppant settlement along the horizontal wellbore, an indoor experimental simulation device was established to analyze the influence of the factors above on the distribution of proppant in the perforation cluster by changing the parameters of proppant pumping displacement, particle size, sand ratio, etc. The results of the study show that under the low pumping displacement, with the increase of sand ratio, the distribution of 20/40-mesh quartz sand mainly changed from the 2ndand 3rd perforation clusters to the 1st and 2nd perforation clusters, and 40/70-mesh quartz sand mainly concentrated in the 1st perforation cluster; under the high pumping displacement, the distribution of 20/40-mesh quartz sand was similar to the low pumping displacement, and 40/70-mesh quartz sand was influenced by the high speed fluid and migrated at a speed far beyond the critical deposition rate, and mainly deposited at the 3rd perforation cluster.Under the same sand ratio, the impact of fluid on small-sized quartz sand is weaker, so the proppant was easily deposited nearby, while the impact on large-sized quartz sand is stronger and more easily deposited far away; with the increase of sand ratio, the mass proportion of proppant in the 1st perforation cluster gradually increases, and significantly decreased in the 3rd perforation cluster. This study provides a strong support for the optimization of perforation clusters for horizontal well staged fracturing and improvement of the stimulation effect.

Key words： fracturing; shale gas; horizontal well; perforation cluster; proppant; pumping displacement; sand ratio

参考文献

[1] 张金发,管英柱,陈菊,等.页岩气压裂技术进展及发展建议[J].能源与环保,2021,43(10):102-109.
ZHANG Jinfa,GUAN Yingzhu,CHEN Ju,et al.Progress and development suggestion of shale gas fracturing technology[J].China Energy and Environmental Protection,2021,43(10):102-109.
[2] HUANG Ting,GUO Xiao,WANG Kun.Nonlinear seepage model of gas transport in multiscale shale gas reservoirs and productivity analysis of fractured well[J].Journal of Chemistry,2015,12:53-55.
[3] DAI Cheng,XUE Liang,WANG Weihong,et al.Analysis of the influencing factors on the well performance in shale gas reservoir[J].Geofluids,2017,7818346:10-11.
[4] 张金发,李亭,管英柱,等.致密砂岩气藏低产低效井治理对策及展望[J].能源与环保,2022,44(10):115-124.
ZHANG Jinfa,LI Ting,GUAN Yingzhu,et al.Countermeasures and prospects of low production and low efficiency wells in tight sandstone gas reservoir[J].China Energy and Environmental Protection,2022,44(10):115-124.
[5] INGRAM S,LAHMAN M,PERSAC S,Methods improve stimulation efficiency of perforation clusters in completions[J].Journal of Petroleum Technology,2014,66:32-36.
[6] LI Ting,TAN Yongsheng,AHMAD A F,et al.A new method to production prediction for the shale gas reservoir[J].Energy Sources,Part A:Recovery,Utilization,and Environmental Effects,2020,42:1078-1080.
[7] CHEN Zhiming,LIAO Xinwei,ZHAO Xiaoliang,et al.A finite-conductivity horizontal-well model for pressure-transient analysis in multiple-fractured horizontal wells[J]SPE Journal, 2017,22(4):1112-1122.
[8] MARK D ZOBACK,ARJUN H K.Unconventional reservoir geomechanics[M].Cambridge:Cambridge University Press,2019:233-262.
[9] DAI Shuhui,CHEN Chunqiang,LIU Dameng.Asemianalytical approach for production of oil from bottom water drive tight oil reservoirs with complex hydraulic fractures[J].Journal of Chemistry,2019,16:1-8.
[10] WARPINSKI N R,MAYERHOFER M J,VINCENT M C,et al.Stimulating unconventional reservoirs:maximizing network growth while optimizing fracture conductivity[J].Journal of Canadian Petroleum Technology.2013,48(10):39-51.
[11] 张涛,曾先进,郭建春,等.纤维支撑剂团静态沉降速度计算方法[J].油气地质与采收率,2021,28(1):144-150.
ZHANG Tao,ZENG Xianjin,GUO Jianchun,et al.Calculation model of static settling velocity of fiber-containing proppant clumps[J].Petroleum Geology and Recovery Efficiency,2021,28(1):144-150.
[12] 赵成龙,王俊石,卢启敬.现代油气井射孔技术发展现状与展望[J].石化技术,2022,29(8):216-218.
ZHAO Chenglong,WANG Junshi,LU Qijing.Oil well perforation technology:Status and prospects[J].Petrochemical Industry Technology,2022,29(8):216-218.
[13] BOKANE Atul,JAIN Siddharth,DESHPANDE Yogesh,et al.Computational fluid dynamics (CFD) study and investigation of proppant transport and distribution in multistage fractured horizontal wells[C].SPE165952-MS,2013:16-18.
[14] 钟安海,郭天魁.水平井多簇支撑剂分布数值模拟[J].深圳大学学报(理工版),2022,39(5):576-583.
ZHONG Anhai,GUO Tiankui.Numerical simulation of multi-cluster proppant distribution in horizontal wells[J].Journal of Shenzhen University(Science & Engineering),2022,39(5):576-583.
[15] AHMAD A F,MISKIMINS J L.Proppant transport and behavior in horizontal wellbores using low viscosity fluids[C].SPE194379-MS,2019:1-8.
[16] 王雪飞,王素玲,侯峰,等.基于CFD-DEM方法的迂曲裂缝中支撑剂运移关键影响因素分析[J].特种油气藏,2022,29(6):150-158.
WANG Xuefei,WANG Suling,HOU Feng,et al.Analysis on key influencing factors of proppant migration in tortuous fractures based on CFD-DEM method[J].Special Oil & Gas Reservoirs,2022,29(6):150-158.
[17] 马春晓,邢云,罗攀,等.陆相页岩气储层裂缝支撑剂铺置规律研究[J].钻井液与完井液,2022,39(3):373-382.
MA Chunxiao,XING Yun,LUO Pan,et al.Research on proppant migration law of fractures in continental shale gas reservoir[J].Drilling Fluid & Completion Fluid,2022,39(3):373-382.
[18] 沈云琦,李凤霞,张岩,等.复杂裂缝网络内支撑剂运移及铺置规律分析[J].油气地质与采收率,2020,27(5):134-142.
SHEN Yunqi,LI Fengxia,ZHANG Yan,et al.Analysis of proppant migration and layout in complex fracture network[J].Petroleum Geology and Recovery Efficiency,2020,27(5):134-142.
[19] 黑创,罗明璋,邹骁. 基于井孔散射波能量的水力压裂效果评价方法[J].长江大学学报(自然科学版),2021,18(3):14-20.
HEI Chuang,LUO Mingzhang,ZOU Xiao.Evaluation methods of the hydraulic fracturing effect based on the energy of borehole scattered wave [J].Journal of Yangtze University (Natural Science Edition),2021,18(3):14-20.
[20] 许冬进,张滨海,李紫晗,等. 致密气压裂液与储层全过程渗吸伤害规律研究[J].长江大学学报(自然科学版),2022,19(1):79-85.
XU Dongjin,ZHANG Binhai,LI Zihan,et al.Study on the law of imbibition damage in the whole process of tight gas fracturing fluid andreservoir [J]. Journal of Yangtze University (Natural Science Edition),2022,19(1):79-85.
[21] 纪国法,丁江,张琦,等. 考虑滑移效应的页岩基质纳米孔隙中压裂液滤失速度分形计算新模型[J].长江大学学报(自然科学版),2022,19(1):86-91.
JI Guofa,DING Jiang,ZHANG Qi,et al. A new fractal model for calculating filtration rate of fracturing fluid in shale matrix nanoporesconsidering slippage effect [J]. Journal of Yangtze University (Natural Science Edition),2022,19(1):86-91.
[22] 姜瑞忠,原建伟,徐建春,等. 考虑应力敏感效应的复合油藏多级压裂水平井压力动态分析[J]. 东北石油大学学报,2019,43(1):109-116.
JIANG Ruizhong,YUAN Jianwei,XU Jianchun,et al. Transient pressure analysis of multi-stage fracture horizontal well in composite reservoir with consideration of stress-sensitivity[J]. Journal of Northeast Petroleum University,2019,43(1):109-116.
[23] 邹文龙,余辉,郭佳,等. 分形煤层气藏有限导流多翼压裂直井试井模型[J].东北石油大学学报,2021,45(6):102-110.
ZOU Wenlong,YU Hui,GUO Jia,et al. Fractal well test model for multi-wing fractured vertical well with finite conductivity in the coal bed methane reservoir[J].Journal of Northeast Petroleum University,2021,45(6):102-110.
[24] OROSKAR A R,TURIAN R M.The critical velocity in pipeline flow of slurries[J].AIChE Journal,1980,26(4):550-558.

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