注采连通性计算及渗流通道的定量识别
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摘要
针对阻容模型求解结果仅为注水贡献率的问题,运用因素敏感性分析方法,消除注采结构变化对注采连通性计算值的影响,推导出能够真实反映注采井间连通性的数学模型。在此基础上,提出一种新的物理表征参数——无因次连通系数,实现井间渗流通道的定量识别。研究结果表明:无因次连通系数大于1. 2时,注采井间已形成优势渗流通道;无因次连通系数介于0. 8～1. 2时,为正常渗流;无因次连通系数小于0. 8时,注采井间储层存在堵塞。将研究成果应用在渤海南部油田,成功指导水井调剖5井次,油井酸化解堵4井次,合计日增油为214m~3/d。研究成果对注采连通性认识、优势渗流通道和储层堵塞的识别及治理具有指导意义。
The calculation of resistance-capacitance model only provides the contribution rate of injection water. The sensitivity analysis was adopted to eliminate the influence of injection-production structure change on the calculation of injection-production connectivity. A mathematical model was deduced to exactly characterize the injectionproduction connectivity. A new physical characterization parameter defined as dimensionless connectivity coefficient was proposed to quantitatively identify the inter-well flow channels. Research indicates that the inter-well dominant flow channel is created when the dimensionless connectivity coefficient exceeds 1.2. It is concluded as normal flow pattern when the dimensionless connectivity coefficient is between 0.8 and 1.2. The inter-well reservoir indicates a blockage in case of the dimensionless connectivity coefficient is less than 0.8. This research was successfully applied in the profile-control of injection well for 5 well-times and the blockage removal with acid for 4 well-times in the southern Bohai Oilfield,and the total daily oil increment was 214 m~3/d. This research could provide certain guidance for the understanding of injection-production connectivity,dominant flow channel,reservoir blockage identification and treatment.
The calculation of resistance-capacitance model only provides the contribution rate of injection water. The sensitivity analysis was adopted to eliminate the influence of injection-production structure change on the calculation of injection-production connectivity. A mathematical model was deduced to exactly characterize the injectionproduction connectivity. A new physical characterization parameter defined as dimensionless connectivity coefficient was proposed to quantitatively identify the inter-well flow channels. Research indicates that the inter-well dominant flow channel is created when the dimensionless connectivity coefficient exceeds 1.2. It is concluded as normal flow pattern when the dimensionless connectivity coefficient is between 0.8 and 1.2. The inter-well reservoir indicates a blockage in case of the dimensionless connectivity coefficient is less than 0.8. This research was successfully applied in the profile-control of injection well for 5 well-times and the blockage removal with acid for 4 well-times in the southern Bohai Oilfield,and the total daily oil increment was 214 m~3/d. This research could provide certain guidance for the understanding of injection-production connectivity,dominant flow channel,reservoir blockage identification and treatment.
引文
[1]赵国瑜.井间示踪剂技术在油田生产中的应用[J].石油勘探与开发,1999,26(4):92-93.
[2]张毅,姜瑞忠,郑小权.井间示踪剂分析技术[J].石油大学学报(自然科学版),2001,25(2):76-79.
[3]刘振宇,张大为,曾昭英,等.脉冲试井分析方法的改进[J].重庆大学学报(自然科学版),2000,23(增刊):21-22.
[4]廖红伟,王琛,左代荣.应用不稳定试井判断井间连通性[J].石油勘探与开发,2002,29(4):87-89.
[5]文志刚,朱丹,李玉泉,等.应用色谱指纹技术研究孤东油田六区块油层连通性[J].石油勘探与开发,2004,31(4):82-83.
[6]杜娟,杨树敏.井间微地震监测技术现场应用效果分析[J].大庆石油地质与开发,2007,26(4):120-122.
[7]BATYCKY R,THIELE M,BAKERR,et al.Revisiting reservoir flood-surveillance methods using streamlines[J].Reservoir Evaluation&Engineering,2005,11(2):387-394.
[8]THIELEM R,BATYCKY R P,FENWICK D H.Streamline simulation for modern reservoir-engineering workflows[J].Journal of Petroleum Technology,2010,62(1):64-70.
[9]赵辉,李阳,高达,等.基于系统分析方法的油藏井间动态连通性研究[J].石油学报,2010,31(4):633-636.
[10]张明安.油藏井间动态连通性反演方法研究[J].油气地质与采收率,2011,18(3):70-73.
[11]ALBERTONI A,LAKE L W.Inferring interwell connectivity onlyfrom well-rate fluctuations in water floods[J].SPE Reservoir Evaluation&Engineering,2003,6(1):6-16.
[12]SAYARPOUR M,ZULUAGAE,KABIR C S,et al.The use of capacitance-resistance models for rapid estimation of waterflood performance and optimization[J].Journal of Petroleum Science and Engineering,2009,69(3):227-238.
[13]王秀坤,崔传智,王鹏,等.砂砾岩油藏井间动态连通性判定方法[J].特种油气藏,2015,22(3):118-120.
[14]胡书勇,张烈辉,罗建新,等.砂岩油藏大孔道的研究---回顾与展望[J].特种油气藏,2006,13(6):10-13.
[15]曾流芳,刘炳官,刘玉章,等.水驱优势通道对水驱开发效果的影响研究[J].江汉石油学院学报,2004,26(2):126-127.
[16]YOUSEF A A,GENTIL P H,JENSEN J L,et al.A capacitance model to infer interwell connectivity from production and injection rate fluctuations[J].SPE Reservoir Evaluation&Engineering,2006,9(6):630-646.
[17]杨超,许晓明,齐梅,等.高含水老油田注采连通判别及注水量优化方法[J].中南大学学报(自然科学版),2015,46(12):4594-4601.
[18]郝金克.利用无因次压力指数定性识别优势通道[J].特种油气藏,2014,21(4):123-125.
[19]张静,杨欢.试井解释地层大孔道技术研究[J].长江大学学报(自然科学版),2010,7(3):533-535.
[20]邓晓娟,张晓磊,朱静,等.储层水流优势通道模式及识别分析[J].石油钻采工艺,2014,36(5):69-74.
[21]付辉,卢立泽,王贺华,等.油藏井间动态连通性及地质控制因素研究---以南图尔盖盆地Konys油田为例[J].东北石油大学学报,2016,40(3):89-96.
[22]吴明录,丁明才,姚军,等.分形离散裂缝数值试井解释模型[J].东北石油大学学报,2016,40(6):114-120.
[23]林国松,徐中波,汪利兵,等.渤海湾盆地P油田馆陶组物源演化及其对沉积体系的影响[J].大庆石油地质与开发,2018,37(6):22-27.
[24]许聘,官大勇.渤海C地区中深层滩相储层特征与控制因素[J].大庆石油地质与开发,2018,37(3):37-42.
[2]张毅,姜瑞忠,郑小权.井间示踪剂分析技术[J].石油大学学报(自然科学版),2001,25(2):76-79.
[3]刘振宇,张大为,曾昭英,等.脉冲试井分析方法的改进[J].重庆大学学报(自然科学版),2000,23(增刊):21-22.
[4]廖红伟,王琛,左代荣.应用不稳定试井判断井间连通性[J].石油勘探与开发,2002,29(4):87-89.
[5]文志刚,朱丹,李玉泉,等.应用色谱指纹技术研究孤东油田六区块油层连通性[J].石油勘探与开发,2004,31(4):82-83.
[6]杜娟,杨树敏.井间微地震监测技术现场应用效果分析[J].大庆石油地质与开发,2007,26(4):120-122.
[7]BATYCKY R,THIELE M,BAKERR,et al.Revisiting reservoir flood-surveillance methods using streamlines[J].Reservoir Evaluation&Engineering,2005,11(2):387-394.
[8]THIELEM R,BATYCKY R P,FENWICK D H.Streamline simulation for modern reservoir-engineering workflows[J].Journal of Petroleum Technology,2010,62(1):64-70.
[9]赵辉,李阳,高达,等.基于系统分析方法的油藏井间动态连通性研究[J].石油学报,2010,31(4):633-636.
[10]张明安.油藏井间动态连通性反演方法研究[J].油气地质与采收率,2011,18(3):70-73.
[11]ALBERTONI A,LAKE L W.Inferring interwell connectivity onlyfrom well-rate fluctuations in water floods[J].SPE Reservoir Evaluation&Engineering,2003,6(1):6-16.
[12]SAYARPOUR M,ZULUAGAE,KABIR C S,et al.The use of capacitance-resistance models for rapid estimation of waterflood performance and optimization[J].Journal of Petroleum Science and Engineering,2009,69(3):227-238.
[13]王秀坤,崔传智,王鹏,等.砂砾岩油藏井间动态连通性判定方法[J].特种油气藏,2015,22(3):118-120.
[14]胡书勇,张烈辉,罗建新,等.砂岩油藏大孔道的研究---回顾与展望[J].特种油气藏,2006,13(6):10-13.
[15]曾流芳,刘炳官,刘玉章,等.水驱优势通道对水驱开发效果的影响研究[J].江汉石油学院学报,2004,26(2):126-127.
[16]YOUSEF A A,GENTIL P H,JENSEN J L,et al.A capacitance model to infer interwell connectivity from production and injection rate fluctuations[J].SPE Reservoir Evaluation&Engineering,2006,9(6):630-646.
[17]杨超,许晓明,齐梅,等.高含水老油田注采连通判别及注水量优化方法[J].中南大学学报(自然科学版),2015,46(12):4594-4601.
[18]郝金克.利用无因次压力指数定性识别优势通道[J].特种油气藏,2014,21(4):123-125.
[19]张静,杨欢.试井解释地层大孔道技术研究[J].长江大学学报(自然科学版),2010,7(3):533-535.
[20]邓晓娟,张晓磊,朱静,等.储层水流优势通道模式及识别分析[J].石油钻采工艺,2014,36(5):69-74.
[21]付辉,卢立泽,王贺华,等.油藏井间动态连通性及地质控制因素研究---以南图尔盖盆地Konys油田为例[J].东北石油大学学报,2016,40(3):89-96.
[22]吴明录,丁明才,姚军,等.分形离散裂缝数值试井解释模型[J].东北石油大学学报,2016,40(6):114-120.
[23]林国松,徐中波,汪利兵,等.渤海湾盆地P油田馆陶组物源演化及其对沉积体系的影响[J].大庆石油地质与开发,2018,37(6):22-27.
[24]许聘,官大勇.渤海C地区中深层滩相储层特征与控制因素[J].大庆石油地质与开发,2018,37(3):37-42.
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