油田监测与分析系统核心算法修正
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摘要
随着油田智能化发展的需要,传统的故障诊断、动液面、产量计量算法已不能满足油井问题在实时性和准确性方面的要求。针对目前国内外油井监测与分析系统中存在的问题,对系统核心算法故障诊断、动液面、产量计量进行修正。其中,故障诊断采用基于关联度函数修正的方法,并给出一种专家知识库实时更新完善策略;动液面算法采用物元分析的方法,通过建立物元模型确定油井的最优多相流算法;产量计算算法采用均值滤波的方法,通过消除示功图中复杂的频率部分精确求取示功图有效冲程。对以上修正算法进行了仿真,提高了油井问题诊断的准确性和诊断效率,为智能油田提供理论基础。
With the development of intelligent oilfield,the traditional fault diagnosis,dynamic surface and yield measurement algorithm could not meet the requirements of real-time and accuracy in the oil well problem. Aimed at the problems existing at home and abroad oil well monitoring and analysis system,this paper corrected the system core algorithm of fault diagnosis,dynamic surface and yield measurement. Among them,the fault diagnosis method was based on correlation function correction,and presented a real time updating strategy of expert knowledge base. The method of matter element analysis was used to determine the optimal multiphase flow in oil wells by using matter-element model. The yield measurement algorithm used the method of mean filter to get the effective stroke of the indicator diagram by eliminating the complex frequency part of the indicator diagram. And it simulated the above correction algorithm. They improve the accuracy and efficiency of the diagnosis of oil well problems,provide theoretical basis for intelligent oilfield.
With the development of intelligent oilfield,the traditional fault diagnosis,dynamic surface and yield measurement algorithm could not meet the requirements of real-time and accuracy in the oil well problem. Aimed at the problems existing at home and abroad oil well monitoring and analysis system,this paper corrected the system core algorithm of fault diagnosis,dynamic surface and yield measurement. Among them,the fault diagnosis method was based on correlation function correction,and presented a real time updating strategy of expert knowledge base. The method of matter element analysis was used to determine the optimal multiphase flow in oil wells by using matter-element model. The yield measurement algorithm used the method of mean filter to get the effective stroke of the indicator diagram by eliminating the complex frequency part of the indicator diagram. And it simulated the above correction algorithm. They improve the accuracy and efficiency of the diagnosis of oil well problems,provide theoretical basis for intelligent oilfield.
引文
[1]李淑清,周晓晴,李建良.智能油井监测系统的设计[J].自动化仪表,2009,10(30):33-38.
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[3]王尊天.油井无线远程巡控及优势分析[J].石油化工自动化,2010,41(5):41-43.
[4]耿树朋,王念兴,姜淑忠,等.基于GPRS的抽油机远程实时监测系统[J].制造业自动化,2015,37(1):231-234.
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[9]罗仁泽,陆存,敬兴龙,等.基于功图分析的有杆抽油泵故障诊断技术研究[J].计算机测量与控制,2016,24(1):46-49.
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[11]杨顺辉.差分曲线法在示功图诊断中的应用[J].石油钻探技术,2002,30(2):63-64.
[12]付光杰,周昕奇,王磊,等.基于矩特征傅里叶描述的示功图故障诊断研究[J].化工自动化及仪表,2015,42(4):401-405.
[13]李翔宇,高宪文,李琨,等.基于多元信息特征融合的抽油井动液面集成软测量建模[J].化工学报,2016,67(6):2469-2479.
[14]张胜利,罗毅,吴赞美,等.抽油机井示功图法计算动液面的修正算法[J].石油钻采工艺,2011,33(6):122-124.
[15]王通,高宪文,刘文芳.自适应软测量方法在动液面预测中的研究与应用[J].化工学报,2014,65(12):4898-4904.
[16]刘祥武.用示功图计算动液面深度的研究方法[J].中国石油和化工标准与质量,2012,33(16):34-38.
[17]梁华,李训铭.基于物理意义的示功图凡尔开闭点精确提取[J].石油勘探与开发,2011,38(1):109-115.
[18]彭友顺,王玉珍,周晓松.有杆泵系统的数学建模及诊断[J].数学的实践与认识,2013,43(15):112-117.
[19]杨瑞,辛宏,李明江,等.一体化传感器在功图法油井计量网络化系统中的应用[J].石油化工自动化,2009,45(5):68-70.
[20]何鑫.影响油井功图计量准确性的因素分析[J].石油和化工设备,2013(6):49-51.
[2]杨瑞,姚斌,辛宏,等.油井远程监测系统的应用与展望[J].石油化工自动化,2009,42(4):42-46.
[3]王尊天.油井无线远程巡控及优势分析[J].石油化工自动化,2010,41(5):41-43.
[4]耿树朋,王念兴,姜淑忠,等.基于GPRS的抽油机远程实时监测系统[J].制造业自动化,2015,37(1):231-234.
[5]周斌.油井多参量远程监测系统设计[J].自动化仪表,2014,35(4):21-23.
[6]王秀芳,管闯,王紫.基于信息熵与灰关联的抽油井泵示功图诊断技术研究[J].化工自动化及仪表,2013,40(11):1370-1373.
[7]李翔宇,高宪文,侯延彬.基于在线动态高斯过程回归抽油井动液面软测量建模[J].化工学报,2015,66(6):2150-2158.
[8]杨瑞,黄伟,辛宏,等.功图法油井计量技术在长庆油田的应用[J].油气田地面工程,2010,29(2):55-57.
[9]罗仁泽,陆存,敬兴龙,等.基于功图分析的有杆抽油泵故障诊断技术研究[J].计算机测量与控制,2016,24(1):46-49.
[10]李琨,高宪文,仇治学,等.有杆泵抽油系统井下工况诊断的物元分析方法[J].东北大学学报,2013,34(5):613-617.
[11]杨顺辉.差分曲线法在示功图诊断中的应用[J].石油钻探技术,2002,30(2):63-64.
[12]付光杰,周昕奇,王磊,等.基于矩特征傅里叶描述的示功图故障诊断研究[J].化工自动化及仪表,2015,42(4):401-405.
[13]李翔宇,高宪文,李琨,等.基于多元信息特征融合的抽油井动液面集成软测量建模[J].化工学报,2016,67(6):2469-2479.
[14]张胜利,罗毅,吴赞美,等.抽油机井示功图法计算动液面的修正算法[J].石油钻采工艺,2011,33(6):122-124.
[15]王通,高宪文,刘文芳.自适应软测量方法在动液面预测中的研究与应用[J].化工学报,2014,65(12):4898-4904.
[16]刘祥武.用示功图计算动液面深度的研究方法[J].中国石油和化工标准与质量,2012,33(16):34-38.
[17]梁华,李训铭.基于物理意义的示功图凡尔开闭点精确提取[J].石油勘探与开发,2011,38(1):109-115.
[18]彭友顺,王玉珍,周晓松.有杆泵系统的数学建模及诊断[J].数学的实践与认识,2013,43(15):112-117.
[19]杨瑞,辛宏,李明江,等.一体化传感器在功图法油井计量网络化系统中的应用[J].石油化工自动化,2009,45(5):68-70.
[20]何鑫.影响油井功图计量准确性的因素分析[J].石油和化工设备,2013(6):49-51.