高含水期五点法压裂井网的动态产能预测方法
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摘要
高含水期井网压裂产能研究对高含水期井网压裂优化及开发调整意义重大。由于储层物性的非均质性,导致高含水期剩余油分布不均。依据五点法压裂井网及其流线分布特征,将五点法注采单元划分为4个注采区域,每个注采区域再细分为多个计算单元;在考虑剩余油分布不均的基础上,运用流线积分法、物质平衡原理及稳定状态逐次替换法,推导出各计算单元的产能计算方法,合并各计算单元产能,获得高含水期五点法压裂井网产能。新建方法的计算结果与实际动态生产数据的对比结果表明,相对误差小于5%,可满足现场需求。通过分析储层系数、储层非均质性、裂缝无因次导流能力、裂缝穿透比和压裂初期剩余油饱和度对产能的影响可知:储层系数越大,压裂初期剩余油饱和度越高,产能越高,裂缝直接控制区域的储层系数和剩余油饱和度对压裂初期产能影响较大;产能随裂缝无因次导流能力和穿透比的增大而增大,但裂缝无因次导流能力对产能的影响随其增大而减小。
The fractured well pattern productivity study is of great significance to optimization and development adjustment in the high water cut stage.Due to the heterogeneity of the reservoir,the remaining oil distribution in the high water cut stage is uneven.According to the streamline distribution characteristics of five-spot well pattern,injection-production units for the five-spot well pattern were divided into 4 injection-production areas,and each area was subdivided into several calculating units.Considering the uneven distribution of the remaining oil,the dynamic productivity prediction method for each calculating unit was proposed by using streamline integral method,material balance principle and steady-state sequential replacement method,and the productivity of five-sport well pattern was further calculated by summarizing the productivity of each calculating unit.The accuracy of the method was verified by comparing with the actual production data with the relative error of less than 5%,which meets the demands of the field.The influences of reservoir coefficient,reservoir heterogeneity,dimensionless fracture conductivity,fracture penetration ratio and remaining oil saturation at early fracturing stage were analyzed.The results show that a better reservoir coefficient and a higher remaining oil saturation lead to the higher productivity.The reservoir coefficient and remaining oil saturation in the fracture control area have great influences on the productivity at initial stage after fractured.The productivity increases with the increase of the dimensionless fracture conductivity and penetration ratio,but the effect of the dimensionless fracture conductivity on the productivity decreases with the increase of the dimensionless fracture conductivity.
The fractured well pattern productivity study is of great significance to optimization and development adjustment in the high water cut stage.Due to the heterogeneity of the reservoir,the remaining oil distribution in the high water cut stage is uneven.According to the streamline distribution characteristics of five-spot well pattern,injection-production units for the five-spot well pattern were divided into 4 injection-production areas,and each area was subdivided into several calculating units.Considering the uneven distribution of the remaining oil,the dynamic productivity prediction method for each calculating unit was proposed by using streamline integral method,material balance principle and steady-state sequential replacement method,and the productivity of five-sport well pattern was further calculated by summarizing the productivity of each calculating unit.The accuracy of the method was verified by comparing with the actual production data with the relative error of less than 5%,which meets the demands of the field.The influences of reservoir coefficient,reservoir heterogeneity,dimensionless fracture conductivity,fracture penetration ratio and remaining oil saturation at early fracturing stage were analyzed.The results show that a better reservoir coefficient and a higher remaining oil saturation lead to the higher productivity.The reservoir coefficient and remaining oil saturation in the fracture control area have great influences on the productivity at initial stage after fractured.The productivity increases with the increase of the dimensionless fracture conductivity and penetration ratio,but the effect of the dimensionless fracture conductivity on the productivity decreases with the increase of the dimensionless fracture conductivity.
引文
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[12]史晓东.致密油直井多层缝网压裂产能预测方法[J].特种油气藏,2017,24(1):124-127.SHI Xiaodong.Productivity forecast of vertical well with multi-layer network fracturing in tight oil reservoir[J].Special Oil&Gas Reservoirs,2017,24(1):124-127.
[13]许建国,赵晨旭,宣高亮,等.地质工程一体化新内涵在低渗透油田的实践--以新立油田为例[J].中国石油勘探,2018,23(2):37-42.XU Jianguo,ZHAO Chenxu,XUAN Gaoliang,et al.Application of the new connotation of geology-engineering integration in low permeability oilfields:a case study on Xinli oilfield[J].China Petroleum Exploration,2018,23(2):37-42.
[2]王晓冬,张义堂,刘慈群.垂直裂缝井产能及导流能力优化研究[J].石油勘探与开发,2004,31(6):78-81.WANG Xiaodong,ZHANG Yitang,LIU Ciqun.Productivity evaluation and conductivity optimization for vertically fractured wells[J].Petroleum Exploration and Development,2004,31(6):78-81.
[3]孟红霞,陈德春,黄新春,等.水力压裂油井产能计算模型[J].河南石油,2005,19(4):33-35.MENG Hongxia,CHEN Dechun,HUANG Xinchun,et al.Computation models of productivities of hydraulically fractured oil wells[J].Henan Petroleum,2005,19(4):33-35.
[4]崔传智,丰雅,张传宝,等.基于均衡驱替的低渗透油藏直井压裂缝长优化方法[J].油气地质与采收率,2017,24(6):65-71.CUI Chuanzhi,FENG Ya,ZHANG Chuanbao,et al.Optimization method of fracture length of vertical wells in low-permeability reservoirs based on the equilibrium displacement[J].Petroleum Geology and Recovery Efficiency,2017,24(6):65-71.
[5]熊健,王小军,吕雷.低渗油藏不对称垂直裂缝井产能模型[J].科技导报,2013,31(22):40-43.XIONG Jian,WANG Xiaojun,LüLei.Productivity model for asymmetrical vertical fracture well in low-permeability oil reservoirs[J].Science&Technology Review,2013,31(22):40-43.
[6]林旺,范洪富,刘立峰,等.工程参数对致密油藏压裂水平井产能的影响[J].油气地质与采收率,2017,24(6):120-126.LIN Wang,FAN Hongfu,LIU Lifeng,et al.Effect of engineering parameters on fractured horizontal well productivity in tight oil reservoirs[J].Petroleum Geology and Recovery Efficiency,2017,24(6):120-126.
[7]陈志明,廖新维,赵晓亮,等.体积压裂直井油气产能预测模型[J].油气地质与采收率,2015,22(6):121-126.CHEN Zhiming,LIAO Xinwei,ZHAO Xiaoliang,et al.Productivity model of oil/gas productivity of vertical wells in simulated reservoir volume[J].Petroleum Geology and Recovery Efficiency,2015,22(6):121-126.
[8]苑志旺,郭平,姜彬,等.深层火山岩气藏压裂直井复合渗流产能模型[J].大庆石油地质与开发,2018,37(3):71-77.YUAN Zhiwang,GUO Ping,JIANG Bin,et al.Composite seepage productivity model of the fractured vertical well in deep volcanic gas reservoirs[J].Petroleum Geology&Oilfield Development in Daqing,2018,37(3):71-77.
[9]蒲军,刘传喜,尚根华.基于流线积分法的注水井网非稳态产量模型[J].西南石油大学学报:自然科学版,2016,38(5):97-106.PU Jun,LIU Chuanxi,SHANG Genhua.Non-steady water-flooding production model of areal well pattern based on flow line integral method[J].Journal of Southwest Petroleum University:Science&Technology Edition,2016,38(5):97-106.
[10]计秉玉,李莉,王春艳.低渗透油藏非达西渗流面积井网产油量计算方法[J].石油学报,2008,29(2):256-261.JI Bingyu,LI Li,WANG Chunyan.Oil production calculation for areal well pattern of low-permeability reservoir with non-Darcy seepage flow[J].Acta Petrolei Sinica,2008,29(2):256-261.
[11]计秉玉,王春艳,李莉,等.低渗透储层井网与压裂整体设计中的产量计算[J].石油学报,2009,30(4):578-582.JI Bingyu,WANG Chunyan,LI Li,et al.Calculation method for production rate of rectangular well pattern and fracturing integration production mode in low-permeability reservoir[J].Acta Petrolei Sinica,2009,30(4):578-582.
[12]史晓东.致密油直井多层缝网压裂产能预测方法[J].特种油气藏,2017,24(1):124-127.SHI Xiaodong.Productivity forecast of vertical well with multi-layer network fracturing in tight oil reservoir[J].Special Oil&Gas Reservoirs,2017,24(1):124-127.
[13]许建国,赵晨旭,宣高亮,等.地质工程一体化新内涵在低渗透油田的实践--以新立油田为例[J].中国石油勘探,2018,23(2):37-42.XU Jianguo,ZHAO Chenxu,XUAN Gaoliang,et al.Application of the new connotation of geology-engineering integration in low permeability oilfields:a case study on Xinli oilfield[J].China Petroleum Exploration,2018,23(2):37-42.
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